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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b626beace4ffd6904ff4c6dbc5fb7623d0883d59b14f706f1b07792b460c5a7
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size 3183
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