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autotrain-18y4k-9j27k
timhoek/autotrain-18y4k-9j27k
autotrain-18y4k-9j27k is a text generation model from timhoek. 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 Jul 15, 2024
Repo size
1.2 GB
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0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 15, 2024
- SHA
- bdd6b579
Base models
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
- Jul 15, 2024
- Updated
- Jul 15, 2024