Instructions to use xiaotinghe/industry-classification-XTBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaotinghe/industry-classification-XTBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiaotinghe/industry-classification-XTBert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xiaotinghe/industry-classification-XTBert", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("xiaotinghe/industry-classification-XTBert", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:37e931d079e373a0fa824170d249ee46dff61a96b03d02a38107cc7b3f16a0b6
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size 465280160
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