Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use henri28/small_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henri28/small_dataset with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("henri28/small_dataset") model = AutoModelForSeq2SeqLM.from_pretrained("henri28/small_dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from henri28/small_dataset: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/henri28/small_dataset/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://henri28/small_dataset/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/henri28/small_dataset/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 6657b6b3c1f1c5db138fd8e34d9f40d8b8ed6ea01bf096688f6dd69f919d154d
- Size of remote file:
- 242 MB
- SHA256:
- e8252b81745447e1db58d26e2e6f074a88f7f87f131e6058fc4480708717eb36
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