Instructions to use PrathameshPawar/sci_summary_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrathameshPawar/sci_summary_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PrathameshPawar/sci_summary_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PrathameshPawar/sci_summary_2") model = AutoModelForMaskedLM.from_pretrained("PrathameshPawar/sci_summary_2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc97dcf21f1fae6f31a18945ff490c643d0510b3c3bcd6647f722748277ee1ac
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size 989527328
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