Instructions to use arnolfokam/bert-base-uncased-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/bert-base-uncased-pcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/bert-base-uncased-pcm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/bert-base-uncased-pcm") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/bert-base-uncased-pcm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dfd2ed601cf316d38f2eb1ea432d613648bd166eabb218994f8eae0fa76117e
- Size of remote file:
- 431 MB
- SHA256:
- 2599a140815ae32fd06f89a27076bb22c397ad9dd8645febc9e2e6b45bfa3a91
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