Instructions to use lilouuch/Qa_bert_base_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilouuch/Qa_bert_base_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lilouuch/Qa_bert_base_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lilouuch/Qa_bert_base_7") model = AutoModelForSequenceClassification.from_pretrained("lilouuch/Qa_bert_base_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4634b8f8641b2289c87ce869b333df4cf95f334603b6a77f4857c335aca04131
- Size of remote file:
- 4.86 kB
- SHA256:
- 351f8f2114e44b0cea51263ee25789660413e9098e5a75d75b220ea19e724a39
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