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deltalm-base
nguyenvulebinh/deltalm-base
deltalm-base is a text generation model from nguyenvulebinh. Use it when you need the model to write or continue text. It is set up for transformers.
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- Deltalm
- Access
- Public
- Created
- Mar 30, 2023
- Updated
- Mar 30, 2023
- SHA
- 6b59ba71
Try a prompt
Model card
From the Hugging Face model README
from modeling_deltalm import DeltalmForConditionalGeneration # modeling_deltalm: https://huggingface.co/nguyenvulebinh/deltalm-base/blob/main/modeling_deltalm.py
from configuration_deltalm import DeltalmConfig # configuration_deltalm: https://huggingface.co/nguyenvulebinh/deltalm-base/blob/main/configuration_deltalm.py
from transformers AutoTokenizer
src_text = "i'm steve and<mask> 25 years old"
encoded_hi = tokenizer(src_text, return_tensors="pt")
generated_output = model.generate(**encoded_hi, forced_bos_token_id=tokenizer.bos_token_id, max_length=20, num_beams=1, return_dict_in_generate=True, return_dict=True, output_hidden_states=True)
text_output = tokenizer.batch_decode(generated_output.sequences, skip_special_tokens=True)
print(text_output)
- Task
- Text Generation
- Library
- transformers
- Type
- Deltalm
- Created
- Mar 30, 2023
- Updated
- Mar 30, 2023