Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Hoax0930/BBC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hoax0930/BBC with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="Hoax0930/BBC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hoax0930/BBC") model = AutoModelForSeq2SeqLM.from_pretrained("Hoax0930/BBC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hoax0930/BBC: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/Hoax0930/BBC/resolve/main/training_args.bin
- Command line
-
hf download hf://Hoax0930/BBC/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hoax0930/BBC/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 4abdd3e53a3126106392e98adc30274dc5efa495986747427db11f1500884989
- Size of remote file:
- 3.52 kB
- SHA256:
- 3cc542615e3e58da6f905b1eead1c494d211e9c71b4c5c9fb61999dbe0ba2cd9
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