Instructions to use lenatr99/fine_tuned_cb_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenatr99/fine_tuned_cb_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lenatr99/fine_tuned_cb_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lenatr99/fine_tuned_cb_bert") model = AutoModelForSequenceClassification.from_pretrained("lenatr99/fine_tuned_cb_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cf664e207129f5e34c2981639fd5e79e36de6ddab326694e4b1884d3cb0b9de
- Size of remote file:
- 4.98 kB
- SHA256:
- 2879701e85675a22244ab7663455528f446d204cb3a8402cc215b6e9d032ab48
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