Instructions to use zibajoon/20231128_ClinBigBird_10ep_NewLabels_Classn_78_A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zibajoon/20231128_ClinBigBird_10ep_NewLabels_Classn_78_A with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zibajoon/20231128_ClinBigBird_10ep_NewLabels_Classn_78_A")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zibajoon/20231128_ClinBigBird_10ep_NewLabels_Classn_78_A") model = AutoModelForSequenceClassification.from_pretrained("zibajoon/20231128_ClinBigBird_10ep_NewLabels_Classn_78_A", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6882313d080a54070e46b5e6dde9806bb390c70e2901efde97b1887804929c8
- Size of remote file:
- 512 MB
- SHA256:
- fbe75e2b6cad17a8c8a11f9ba3cef47cf92c95f1573f3b54c69f4f299c587cc9
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