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 pytorch_model.bin from Hoax0930/BBC: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Hoax0930/BBC/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hoax0930/BBC/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hoax0930/BBC/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 0ccf7f161b9c788020ca960a28510bcd0c626fa1de8bd3cf745a54a176389337
- Size of remote file:
- 892 MB
- SHA256:
- 4e5a830624effa911b3c1479b5bf038dae560b2246942c58a111a64e2bab52c9
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