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")# 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
- Xet hash:
- 1a2bdd13e88a8961e4fc7dc21016e4acbfa9d7d57161a7d3252d7e8c30cd9be3
- Size of remote file:
- 1.46 kB
- SHA256:
- a5edff7ccdf925db527812b5527a07489a24f9355c01a0a454862de97696cd88
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