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# electricidad-base-muchocine-finetuned

This model fine-tunes [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on [muchocine](https://huggingface.co/datasets/muchocine) dataset for sentiment classification to predict *star_rating*.


### How to use
The model can be used directly with the HuggingFace `pipeline`.
```python
from transformers import AutoTokenizer, AutoModelWithLMHead

tokenizer = AutoTokenizer.from_pretrained("shahp7575/gpt2-horoscopes")
model = AutoModelWithLMHead.from_pretrained("shahp7575/gpt2-horoscopes")
```

### Examples

```python
from transformers import pipeline
clf = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)

clf('Esta película es una joya. Todo fue perfecto: historia, casting, dirección. Me encantó el clímax.')
>>> [{'label': '5', 'score': 0.9658033847808838}]

clf("La historia y el casting fueron geniales.")
>>> [{'label': '4', 'score': 0.6666394472122192}]

clf("Me gustó pero podría ser mejor.")
>>> [{'label': '3', 'score': 0.7013391852378845}]

clf("dinero tirado en esta pelicula")
>>> [{'label': '2', 'score': 0.7564149498939514}]

clf("esta película es una película absolutamente repugnante. odio todo al respecto. gastó tanto dinero.")
>>> [{'label': '1', 'score': 0.3040296733379364}]

```

{"language": ["es"], "tags": ["spanish", "sentiment"], "datasets": ["muchocine"], "widget": ["Incre\u00edble pelicula. \u00a1Altamente recomendado!", "Extremadamente malo. Baja calidad"]}
transformers pytorch tensorboard electra text-classification spanish sentiment es dataset:muchocine autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #spanish #sentiment #es #dataset-muchocine #autotrain_compatible #endpoints_compatible #region-us 




# electricidad-base-muchocine-finetuned

This model fine-tunes mrm8488/electricidad-base-discriminator on muchocine dataset for sentiment classification to predict *star_rating*.


### How to use
The model can be used directly with the HuggingFace 'pipeline'.


### Examples



# electricidad-base-muchocine-finetuned

This model fine-tunes mrm8488/electricidad-base-discriminator on muchocine dataset for sentiment classification to predict *star_rating*. ### How to use
The model can be used directly with the HuggingFace 'pipeline'. ### Examples
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #spanish #sentiment #es #dataset-muchocine #autotrain_compatible #endpoints_compatible #region-us 
 # electricidad-base-muchocine-finetuned

This model fine-tunes mrm8488/electricidad-base-discriminator on muchocine dataset for sentiment classification to predict *star_rating*. ### How to use
The model can be used directly with the HuggingFace 'pipeline'. ### Examples
passage: TAGS
#transformers #pytorch #tensorboard #electra #text-classification #spanish #sentiment #es #dataset-muchocine #autotrain_compatible #endpoints_compatible #region-us 
# electricidad-base-muchocine-finetuned

This model fine-tunes mrm8488/electricidad-base-discriminator on muchocine dataset for sentiment classification to predict *star_rating*.### How to use
The model can be used directly with the HuggingFace 'pipeline'.### Examples