Instructions to use teppei727/bert_woco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teppei727/bert_woco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teppei727/bert_woco")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teppei727/bert_woco") model = AutoModelForSequenceClassification.from_pretrained("teppei727/bert_woco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a323b8a6582988fb3c88d46d94e1b81e9997a9e26a6054675259200626481f4e
- Size of remote file:
- 438 MB
- SHA256:
- e2ecc620ac7e1378040b991e451c8aee49701365b30c64693ac2ed0a2f53d10e
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