Instructions to use BAAI/Aquila-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/Aquila-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BAAI/Aquila-7B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
e77ef02
1
Parent(s): 265f599
Update README.md
Browse files
README.md
CHANGED
|
@@ -35,9 +35,32 @@ We will continue to release improved versions of Aquila model as open source. Fo
|
|
| 35 |
|
| 36 |
### 1. Inference
|
| 37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
|
|
|
|
| 40 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 41 |
|
| 42 |
|
| 43 |
## License
|
|
|
|
| 35 |
|
| 36 |
### 1. Inference
|
| 37 |
|
| 38 |
+
```python
|
| 39 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 40 |
+
import torch
|
| 41 |
+
from cyg_conversation import covert_prompt_to_input_ids_with_history
|
| 42 |
|
| 43 |
+
tokenizer = AutoTokenizer.from_pretrained("BAAI/AquilaChat-7B")
|
| 44 |
+
model = AutoModelForCausalLM.from_pretrained("BAAI/AquilaChat-7B")
|
| 45 |
+
model.eval()
|
| 46 |
+
model.to("cuda:0")
|
| 47 |
+
vocab = tokenizer.vocab
|
| 48 |
+
print(len(vocab))
|
| 49 |
|
| 50 |
+
text = "请给出10个要到北京旅游的理由。"
|
| 51 |
|
| 52 |
+
tokens = covert_prompt_to_input_ids_with_history(text, history=[], tokenizer=tokenizer, max_token=512)
|
| 53 |
+
|
| 54 |
+
tokens = torch.tensor(tokens)[None,].to("cuda:0")
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
with torch.no_grad():
|
| 58 |
+
out = model.generate(tokens, do_sample=True, max_length=512, eos_token_id=100007)[0]
|
| 59 |
+
|
| 60 |
+
out = tokenizer.decode(out.cpu().numpy().tolist())
|
| 61 |
+
|
| 62 |
+
print(out)
|
| 63 |
+
```
|
| 64 |
|
| 65 |
|
| 66 |
## License
|