Instructions to use omidvaramin/Hprophetnet-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omidvaramin/Hprophetnet-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("omidvaramin/Hprophetnet-large") model = AutoModelForSeq2SeqLM.from_pretrained("omidvaramin/Hprophetnet-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81f18764ec7038eb795787c25c01bfe689d0b53fbafa8b1ecd32528e62353a4c
- Size of remote file:
- 1.57 GB
- SHA256:
- cb2905387313125816d67214f998795a36ba21c62492f0bd64195a03074c5af1
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