Instructions to use semaj83/scibert_finetuned_pruned_ctmatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semaj83/scibert_finetuned_pruned_ctmatch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="semaj83/scibert_finetuned_pruned_ctmatch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("semaj83/scibert_finetuned_pruned_ctmatch") model = AutoModelForSequenceClassification.from_pretrained("semaj83/scibert_finetuned_pruned_ctmatch") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:ac0ffdbc5239bc4f50fe971f05bfe4c91d4ba469f7210b79534c32753eb1d846
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size 427902804
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