Instructions to use ania3000/ossbert-morph-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ania3000/ossbert-morph-v2-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ania3000/ossbert-morph-v2-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ania3000/ossbert-morph-v2-1") model = AutoModelForTokenClassification.from_pretrained("ania3000/ossbert-morph-v2-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ania3000/ossbert-morph-v2-1: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/ania3000/ossbert-morph-v2-1/resolve/main/tokenizer.json
- Command line
-
hf download hf://ania3000/ossbert-morph-v2-1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ania3000/ossbert-morph-v2-1/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.