Instructions to use classla/bcms-bertic-parlasent-bcs-ter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic-parlasent-bcs-ter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="classla/bcms-bertic-parlasent-bcs-ter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic-parlasent-bcs-ter") model = AutoModelForSequenceClassification.from_pretrained("classla/bcms-bertic-parlasent-bcs-ter") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7befa2a53fa8607d1d26e069a8ed096d524badb79380d0a01be0cb0c5f6c557
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size 885073693
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