Summarization
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
text-generation-inference
Instructions to use LukeMoore11/Big-Benjamin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LukeMoore11/Big-Benjamin 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="LukeMoore11/Big-Benjamin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LukeMoore11/Big-Benjamin") model = AutoModelForSeq2SeqLM.from_pretrained("LukeMoore11/Big-Benjamin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LukeMoore11/Big-Benjamin: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/LukeMoore11/Big-Benjamin/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LukeMoore11/Big-Benjamin/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LukeMoore11/Big-Benjamin/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- 0fe9e895f2fbcfc2c52113d232440a790e0125f350921d6b040dfdbfc30f2b36
- Size of remote file:
- 2.95 GB
- SHA256:
- ba84ade5bcb324acb56a899a05ff45362fe1636acfcf775649f30cdea60498b7
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