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gp2-twitgen
vishalpranavag/gp2-twitgen
gp2-twitgen is a text generation model from vishalpranavag. 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.
All-time downloads
442
Public
Parameters
137M
3.7 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- gpt2
- Access
- Public
- Created
- Dec 15, 2023
- Updated
- Dec 15, 2023
- SHA
- c12d618f
Try a prompt
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
- gpt2
- License
- other
- Created
- Dec 15, 2023
- Updated
- Dec 15, 2023