Instructions to use svenbl80/roberta-base_contracts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svenbl80/roberta-base_contracts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="svenbl80/roberta-base_contracts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("svenbl80/roberta-base_contracts") model = AutoModelForSequenceClassification.from_pretrained("svenbl80/roberta-base_contracts") - 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 sha256:3791141369f4934d7e9e5a2b0dc6871d619986015d27289639ef818df61fdbfc
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size 498629328
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