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license: apache-2.0
language:
- en
tags:
- hawk
pipeline_tag: text-generation
---
# HawkLM-demo
<p align="center">
<a href="https://huggingface.co/Rexopia/HawkLM-demo">HawkLM-demo 🤗</a>  ｜ <a href="https://huggingface.co/Rexopia/HawkLM-Chat-demo">HawkLM-Chat-demo 🤗</a>
</p>
## Model Details
- **Developed by:** Rexopia
- **Reach me:** ruiji.zhang@outlook.com
- **Language(s):** English
- **License:** Apache license 2.0
- **Pretrained model:** True
- **Demo version:** True
## How to Get Started with the Model
Use the code below to get started with the model.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Rexopia/HawkLM-demo", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Rexopia/HawkLM-demo", device_map="auto", trust_remote_code=True)
```
## Training Data
We sampled English-only corpus from Redpajama-1T datasets without any Arxiv and GitHub tags. As the demo version presented, we only trained 3.3Bil tokens.
## Evaluation
[More Information Needed]
## Citation
[More Information Needed]
## Model Card Contact
[More Information Needed]
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