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:
- 8b8b02bfb4bcff54c0e61dc48ba9749988def48000bcc120c6d3e28cda447813
- Size of remote file:
- 1.39 kB
- SHA256:
- 3fe10cb43efbcfd16487494b249a294ab7bab9ea9b18b7f2b906b650ef50e632
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