Instructions to use epomponio/my-finetuned-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use epomponio/my-finetuned-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="epomponio/my-finetuned-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("epomponio/my-finetuned-bert") model = AutoModelForSequenceClassification.from_pretrained("epomponio/my-finetuned-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f192880bb383c53798b27aa9173ba9dffa9e0a15caba98291fff414bb519d16
- Size of remote file:
- 268 MB
- SHA256:
- b72c20aca44816cc693feb72a9656eba652c4c656ff42779648a0726c12e979c
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