Instructions to use craigchen/alibee_bert_qa_finetune_intent_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use craigchen/alibee_bert_qa_finetune_intent_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="craigchen/alibee_bert_qa_finetune_intent_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("craigchen/alibee_bert_qa_finetune_intent_classification") model = AutoModelForMaskedLM.from_pretrained("craigchen/alibee_bert_qa_finetune_intent_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c2fbf5ddf945a810cb2817e0a9dda42189d6024c358834a44bbd4f2494e193b
- Size of remote file:
- 410 MB
- SHA256:
- 4697a89ff5b87346a5504828ff90db80e430000798b5e5184b1c64c23258965d
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