Instructions to use arnolfokam/bert-base-uncased-swa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/bert-base-uncased-swa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/bert-base-uncased-swa")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/bert-base-uncased-swa") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/bert-base-uncased-swa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b738e6083f377a553d1f92323059e4ad4b53f0beb4b759dbb1b446f1de6b15f
- Size of remote file:
- 431 MB
- SHA256:
- e15329698fe69d13e9d82433cd6476ba2b0cf085725a60c3945aaf02e1e5c3bd
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