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")# 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
- Xet hash:
- b812beb54dd2f148e19f947430d9cbe7110a0eccdef10d16f9c50270fcb8fcaa
- Size of remote file:
- 5.84 kB
- SHA256:
- 0c07f9800f66e9071e08c1cb89f106d326d2b39625bd0fefbe585b3028111973
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