Can't run bert_vocab_from_dataset without TypeError: Tensor is unhashable
@mihalt I was able to run the manual code successfully, please find the [gist](https://colab.research.google.com/gist/sushreebarsa/e1c98e4302437a8f00749c31861b0db3/subwords_tokenizer.ipynb) here. I tried to replicate the issue reported here and faced a different error. Please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/7ac798e100d4ac736c9d6a3262340c9c/61781.ipynb) and share all the dependencies. Thank you!
 > I was able to run the manual code successfully, please find the [gist](https://colab.research.google.com/gist/sushreebarsa/e1c98e4302437a8f00749c31861b0db3/subwords_tokenizer.ipynb) here.

Yes, I know, that on server of official documentation it is fine

> I tried to replicate the issue reported here and faced a different error. Please find the gist [here](https://colab.research.google.com/gist/sushreebarsa/7ac798e100d4ac736c9d6a3262340c9c/61781.ipynb) and share all the dependencies. Thank you!

You can create any txt files with any text and put its path instead SENTENCES_PATH, TAGS_PATH to prevent an error
`NameError: name 'SENTENCES_PATH' is not defined`
 I've just run my code in another pc and it looks fine. So, what a problem can be in my problematic pc? What do you think? 

I have both
```
>>>tf.executing_eagerly()
True
```
 @sushreebarsa You can congratulate me, I've found an error. Looks like that this code incompatible with `import trax`. But I a bit not fully understand what to do now, if I would like to use them both.  @mihalt ,

I tried replicating the issue with a simple dataset (without trax) and its working fine.Refer attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/be9bad98cbb3888ee67ef1c603d4c329/61781.ipynb).

It seems `trax` has different dependencies compared to tensorflow/tensorflow_text. I am not sure why trax being used by you. I request you to create different environments for both and then try. > @mihalt ,
> 
> I tried replicating the issue with a simple dataset (without trax) and its working fine.Refer attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/be9bad98cbb3888ee67ef1c603d4c329/61781.ipynb).
> 
> It seems `trax` has different dependencies compared to tensorflow/tensorflow_text. I am not sure why trax being used by you. I request you to create different environments for both and then try.



> I tried replicating the issue with a simple dataset (without trax) and its working fine.Refer attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/be9bad98cbb3888ee67ef1c603d4c329/61781.ipynb).

yes, it works without trax

And what if I need it in the same notebook? I am not sure that new environment should help in this case.  @mihalt ,

I think this issue is more specific to Trax and needs to be addressed there. Could you please follow the Trax [example](https://github.com/google/trax/blob/master/README.md#1-run-a-pre-trained-transformer) here on how to create a model using Trax.
 The issue needs to be addressed in Trax repo.So please follow up there if still having problems. This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61781">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61781">No</a>

### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.13

### Custom code

Yes

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

This is the code from you [manual ](https://www.tensorflow.org/text/guide/subwords_tokenizer#generate_the_vocabulary)and I really don't understans that I get this error. Why is it? 

If I add 
tf.compat.v1.disable_eager_execution()
tf.compat.v1.disable_v2_behavior()

I get
RuntimeError: input_dataset: Attempting to capture an EagerTensor without building a function.

### Standalone code to reproduce the issue

```shell
data = tf.data.TextLineDataset([SENTENCES_PATH, TAGS_PATH])

from tensorflow_text.tools.wordpiece_vocab import bert_vocab_from_dataset as bert_vocab

tokens = bert_vocab.bert_vocab_from_dataset(
    data,
    # The target vocabulary size
    vocab_size = 50000,
    # Reserved tokens that must be included in the vocabulary
    reserved_tokens=["[PAD]", "[UNK]", "[START]", "[END]"],
    # Arguments for `text.BertTokenizer`
    bert_tokenizer_params=dict(lower_case=True),
    # Arguments for `wordpiece_vocab.wordpiece_tokenizer_learner_lib.learn`
    learn_params={},
)
```


### Relevant log output

```shell
TypeError: Tensor is unhashable. Instead, use tensor.ref() as the key.
```
