Instructions to use feradauto/scibert_nlp4sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feradauto/scibert_nlp4sg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="feradauto/scibert_nlp4sg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("feradauto/scibert_nlp4sg") model = AutoModelForSequenceClassification.from_pretrained("feradauto/scibert_nlp4sg") - 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 sha256:146bd8728010a5c77603b3713790ef0c0fae5c899e6c3fee83f7c83c93ec92c9
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size 439707728
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