Instructions to use usakha/Prophetnet_GovReport_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usakha/Prophetnet_GovReport_model 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="usakha/Prophetnet_GovReport_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("usakha/Prophetnet_GovReport_model") model = AutoModelForSeq2SeqLM.from_pretrained("usakha/Prophetnet_GovReport_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.93da50b
-
Update README.md
5afe333
-
Update README.md
e3cd747 -
Create README.md
3828916
-
Training in progress, step 3000
59e9a78 -
Training in progress, step 2500
921b8ca -
Training in progress, step 2000
002e4a8 -
Training in progress, step 1500
622344b -
Training in progress, step 1000
61cecb1 -
Training in progress, step 500
49d0e09 -
initial commit
27e5435