Instructions to use arnolfokam/mbert-base-uncased-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/mbert-base-uncased-pcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/mbert-base-uncased-pcm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/mbert-base-uncased-pcm") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/mbert-base-uncased-pcm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from arnolfokam/mbert-base-uncased-pcm: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
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https://huggingface.co/arnolfokam/mbert-base-uncased-pcm/resolve/main/tokenizer.json
- Command line
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hf download hf://arnolfokam/mbert-base-uncased-pcm/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/arnolfokam/mbert-base-uncased-pcm/resolve/main/tokenizer.json
1.96 MB
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