Instructions to use Key1111/BERT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Key1111/BERT2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Key1111/BERT2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Key1111/BERT2") model = AutoModelForTokenClassification.from_pretrained("Key1111/BERT2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e7f5a71ee29fefa4ad8a0e8beda6463087bcf2629c0d6a0e9633a259a6ed4dd
- Size of remote file:
- 436 MB
- SHA256:
- fc90923d09eab1281371487459eab61f6708b7e2aa42c87ac26188c1bdfe23c6
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