Instructions to use afaji/bert-massive-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/bert-massive-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afaji/bert-massive-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afaji/bert-massive-test") model = AutoModelForSequenceClassification.from_pretrained("afaji/bert-massive-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c696568d5db86df6b39e0c53c8ae89f4f4ba342f2170171ae8605feff61770f
- Size of remote file:
- 4.92 kB
- SHA256:
- fcea29a86aa7cf7557f51fb036af41cec645ae18a55f200a64031b51d733d7a5
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