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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d6c38f4e856a268afb88d58f98a304eadae327ee9c9d4d48d12f0f6a193edd5
- Size of remote file:
- 1.46 kB
- SHA256:
- 291b225bc3370cf47a4c1dcbd267f930549578b4fc1dff9285ae38d77fd3bcfe
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