Instructions to use h3110Fr13nd/guj-eng-code-switch-bert-multilingual-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-bert-multilingual-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-bert-multilingual-data2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("h3110Fr13nd/guj-eng-code-switch-bert-multilingual-data2") model = AutoModelForTokenClassification.from_pretrained("h3110Fr13nd/guj-eng-code-switch-bert-multilingual-data2") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
b4ac022 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:77490e02e47bfdf1ff26042d302fbbf302a48e48b8abf86cd2088ca82d24f326
size 5969
|