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autotrain-phi3-mini-4k-instruct-oqkv
jiangcongtao/autotrain-phi3-mini-4k-instruct-oqkv
autotrain-phi3-mini-4k-instruct-oqkv is a text generation model from jiangcongtao. 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.
Access
Public
Updated Jun 23, 2024
Repo size
812 MB
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0
Public
Repo makeup
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.safetensors812 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- 6d30df3e
Base models
Datasets
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
- License
- other
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024