Instructions to use dolgae03/bert_lens_phase3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/bert_lens_phase3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dolgae03/bert_lens_phase3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dolgae03/bert_lens_phase3") model = AutoModelForSequenceClassification.from_pretrained("dolgae03/bert_lens_phase3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dc92e4afcc1fbcb9c3ab3d75d97e27858b99049e7cd84ebb59203f943e7531c
- Size of remote file:
- 433 MB
- SHA256:
- 6abb871c03ba440d1f2a7cee9c904daaf3e148596ab9ff191fe9c77b21e5e778
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