Instructions to use celential/erc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celential/erc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="celential/erc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("celential/erc") model = AutoModelForSequenceClassification.from_pretrained("celential/erc") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:245cdd4cf6fac0874608abea26a6e75e97e2460a5f5f6b4a4b2fae234f9a0dbc
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size 46751774
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