Instructions to use luohy/bert-large-sc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/bert-large-sc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/bert-large-sc-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/bert-large-sc-3") model = AutoModelForSequenceClassification.from_pretrained("luohy/bert-large-sc-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 650897b80738678acd051cbd74972c08fffc07c8715cca0cd4ea6f4254c8150b
- Size of remote file:
- 1.33 GB
- SHA256:
- 97d9c7ab05dac12a2344ed491e2a293d1dfb5a483a98e28f6f3bb67615074bb0
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