Instructions to use arnolfokam/roberta-base-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/roberta-base-pcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/roberta-base-pcm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/roberta-base-pcm") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/roberta-base-pcm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0071391df9b92f9e27d6a427b89742aba636ab0c9d25ee1eedc30fa1db433a9c
- Size of remote file:
- 496 MB
- SHA256:
- 3343d78fa71b46e222d88da8455281170cb08a27bbcd48177060140faa11adfa
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