Transformers
Merge
mergekit
lazymergekit
NousResearch/Llama-2-13b-hf
FinGPT/fingpt-sentiment_llama2-13b_lora
Instructions to use SirWumpus/FinMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirWumpus/FinMA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SirWumpus/FinMA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model.py
Browse files
model.py
CHANGED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
!pip install -qU transformers accelerate
|
| 2 |
+
|
| 3 |
+
from transformers import AutoTokenizer
|
| 4 |
+
import transformers
|
| 5 |
+
import torch
|
| 6 |
+
|
| 7 |
+
model = "SirWumpus/FinMA"
|
| 8 |
+
messages = [{"role": "user", "content": "What is a large language model?"}]
|
| 9 |
+
|
| 10 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
| 11 |
+
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 12 |
+
pipeline = transformers.pipeline(
|
| 13 |
+
"text-generation",
|
| 14 |
+
model=model,
|
| 15 |
+
torch_dtype=torch.float16,
|
| 16 |
+
device_map="auto",
|
| 17 |
+
)
|
| 18 |
+
|
| 19 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
| 20 |
+
print(outputs[0]["generated_text"])
|