Instructions to use h3110Fr13nd/guj-eng-code-switch-indic-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h3110Fr13nd/guj-eng-code-switch-indic-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="h3110Fr13nd/guj-eng-code-switch-indic-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("h3110Fr13nd/guj-eng-code-switch-indic-bert") model = AutoModelForTokenClassification.from_pretrained("h3110Fr13nd/guj-eng-code-switch-indic-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
cf825e3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:40d476e0fa885023dd8289263eae7568049a41d4b467cc4021ac72919a21c746
size 5905
|