|
--- |
|
license: apache-2.0 |
|
language: |
|
- zh |
|
--- |
|
|
|
# Model Card for Model ID |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
|
|
- **Developed by:** 知未智能KDF |
|
- **Model type:** JIANG |
|
- **Language(s) (NLP):** Chinese |
|
- **License:** apache-2.0 |
|
|
|
## How to Get Started with the Model |
|
|
|
Use the code below to get started with the model. |
|
|
|
```python |
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
model_id = 'kdf/jiang-base' |
|
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True) |
|
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) |
|
ret = model.generate(**tokenizer('今天天气不错', return_tensors='pt'), max_new_tokens=50, top_k=1) |
|
print(tokenizer.decode(ret[0])) |
|
``` |