Transformers
Merge
mergekit
lazymergekit
NousResearch/Llama-2-13b-hf
FinGPT/fingpt-sentiment_llama2-13b_lora
Instructions to use SirWumpus/FinMA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirWumpus/FinMA2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SirWumpus/FinMA2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 629 Bytes
fd9e914 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | !pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "SirWumpus/FinMA2"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"]) |