Instructions to use ania3000/mmbert-base-oss-morph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ania3000/mmbert-base-oss-morph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ania3000/mmbert-base-oss-morph")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ania3000/mmbert-base-oss-morph") model = AutoModelForTokenClassification.from_pretrained("ania3000/mmbert-base-oss-morph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408019543a966a1243a7c607713a0fe17de2d5b8c5fe5435cd96779991d3384e
- Size of remote file:
- 5.84 kB
- SHA256:
- 7e69ef53666c2ebad8a3bcc7fe79dd1ed2870c2a84eaa68647bbb3705185abe6
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