Upload README.md with huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Conversational AI Base Model
|
2 |
+
|
3 |
+
<p align="center">
|
4 |
+
<a href="https://huggingface.co/bniladridas/conversational-ai-base-model">
|
5 |
+
<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" width="200" alt="Hugging Face">
|
6 |
+
</a>
|
7 |
+
</p>
|
8 |
+
|
9 |
+
## Model Details
|
10 |
+
- **Developed by:** Nilad Ridas
|
11 |
+
- **Model type:** Conversational AI Transformer
|
12 |
+
- **Language:** English
|
13 |
+
- **License:** MIT
|
14 |
+
|
15 |
+
## Model Description
|
16 |
+
A lightweight, flexible conversational AI model built on DistilBERT architecture, designed for advanced natural language understanding and generation.
|
17 |
+
|
18 |
+
### Model Specifications
|
19 |
+
- **Base Architecture:** DistilBERT
|
20 |
+
- **Model Size:** Reduced from full BERT
|
21 |
+
- **Inference Speed:** Optimized for quick responses
|
22 |
+
- **Context Window:** 512 tokens
|
23 |
+
|
24 |
+
## 馃殌 Quick Start
|
25 |
+
|
26 |
+
### Installation
|
27 |
+
```bash
|
28 |
+
pip install transformers torch
|
29 |
+
```
|
30 |
+
|
31 |
+
### Python Example
|
32 |
+
```python
|
33 |
+
from transformers import AutoModel, AutoTokenizer
|
34 |
+
|
35 |
+
model = AutoModel.from_pretrained('bniladridas/conversational-ai-base-model')
|
36 |
+
tokenizer = AutoTokenizer.from_pretrained('bniladridas/conversational-ai-base-model')
|
37 |
+
|
38 |
+
# Tokenize input
|
39 |
+
inputs = tokenizer("What is conversational AI?", return_tensors="pt")
|
40 |
+
|
41 |
+
# Generate output
|
42 |
+
outputs = model(**inputs)
|
43 |
+
```
|
44 |
+
|
45 |
+
## 馃 Model Capabilities
|
46 |
+
- Context-aware response generation
|
47 |
+
- Semantic understanding
|
48 |
+
- Flexible transformer-based architecture
|
49 |
+
|
50 |
+
## 鈿狅笍 Limitations
|
51 |
+
- Primarily trained on English text
|
52 |
+
- May have inherent biases from training data
|
53 |
+
- Requires careful evaluation for specific use cases
|
54 |
+
|
55 |
+
## 馃搳 Training Data
|
56 |
+
Trained on a diverse corpus of conversational and informative text, focusing on natural language understanding.
|
57 |
+
|
58 |
+
## 馃 Ethical Considerations
|
59 |
+
- Designed with fairness in mind
|
60 |
+
- Transparent about model capabilities and limitations
|
61 |
+
- Ongoing work to reduce potential biases
|
62 |
+
|
63 |
+
## 馃摎 Citation
|
64 |
+
```bibtex
|
65 |
+
@misc{conversational-ai-model,
|
66 |
+
title={Conversational AI Base Model},
|
67 |
+
author={Nilad Ridas},
|
68 |
+
year={2025},
|
69 |
+
url={https://huggingface.co/bniladridas/conversational-ai-base-model}
|
70 |
+
}
|
71 |
+
```
|
72 |
+
|
73 |
+
## 馃摓 Contact
|
74 |
+
- GitHub: [bniladridas](https://github.com/bniladridas)
|
75 |
+
- Hugging Face: [@bniladridas](https://huggingface.co/bniladridas)
|
76 |
+
|
77 |
+
## 馃敆 Links
|
78 |
+
- [Project Repository](https://github.com/bniladridas/conversational-ai-agent)
|
79 |
+
- [Personal Website](https://bniladridas.com)
|
80 |
+
|
81 |
+
---
|
82 |
+
|
83 |
+
*Last Updated: February 2025*
|