Instructions to use h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2") model = AutoModelForTokenClassification.from_pretrained("h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2/resolve/main/tokenizer.json
- Command line
-
hf download hf://h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/h3110Fr13nd/guj-eng-code-switch-xlm-roberta-data2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- efe99592a5bd518205f1d1dae9dc7b244882b190f87ce781406d008f8a5281d7
- Size of remote file:
- 17.1 MB
- SHA256:
- e63c7a5faf7f3257542d756311f64572a52913c2845c4a3849529e1ef87f8eef
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