Instructions to use dolgae03/bert_lens_phase1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/bert_lens_phase1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dolgae03/bert_lens_phase1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dolgae03/bert_lens_phase1") model = AutoModelForSequenceClassification.from_pretrained("dolgae03/bert_lens_phase1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ba7cf4be94b6489629b910f2f511b67bce9ed3f9de46c2a9472132a9324366e
- Size of remote file:
- 433 MB
- SHA256:
- ff0926a81491034028524371e2ae925fd48b8ee64150be81cd4efa972691e895
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