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myllmAutoTrainMistral
Devanshi1310/myllmAutoTrainMistral
myllmAutoTrainMistral is a text generation model from Devanshi1310. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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55
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Repo size
15.2 GB
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0
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- mistral
- Access
- Public
- Created
- May 17, 2024
- Updated
- May 20, 2024
- SHA
- a4b4a497
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": "hi"}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "Hello! How can I assist you today?"
print(response)
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- other
- Created
- May 17, 2024
- Updated
- May 20, 2024