Instructions to use dolgae03/bert_lens_phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/bert_lens_phase2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dolgae03/bert_lens_phase2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dolgae03/bert_lens_phase2") model = AutoModelForSequenceClassification.from_pretrained("dolgae03/bert_lens_phase2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c06a9cb7b57e9b3b3fc149536bdb286bc2992178fa04e4a937bde7c105effc67
- Size of remote file:
- 433 MB
- SHA256:
- 2b525759351ee7db98e99713f21a5d3697e08d2f1886ba1375f916d04e2323d8
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