Instructions to use dolgae03/bert_lens_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dolgae03/bert_lens_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dolgae03/bert_lens_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dolgae03/bert_lens_test") model = AutoModelForSequenceClassification.from_pretrained("dolgae03/bert_lens_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce56b5dd44fc03e0c01477be213c82c5267dc9bc48188b0ac0ff84bcc3713b84
- Size of remote file:
- 433 MB
- SHA256:
- eefb5e350241b7255a2bfbfc3ee576a1596195224f5425ba5092b61db43e7811
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