Instructions to use DRAGOO/bert_210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRAGOO/bert_210 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DRAGOO/bert_210")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DRAGOO/bert_210") model = AutoModelForSequenceClassification.from_pretrained("DRAGOO/bert_210", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f56efdca9b5c3c3d70067e5b35b039f466d76c47becc86ab5985da0577b0cb0
- Size of remote file:
- 268 MB
- SHA256:
- 07a75ed8e9c37b55f0577d86f040c855092c3518133d31cb8f360fcb0de77787
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