Instructions to use IIIT-L/roberta-large-finetuned-non-code-mixed-DS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIIT-L/roberta-large-finetuned-non-code-mixed-DS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IIIT-L/roberta-large-finetuned-non-code-mixed-DS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIIT-L/roberta-large-finetuned-non-code-mixed-DS") model = AutoModelForSequenceClassification.from_pretrained("IIIT-L/roberta-large-finetuned-non-code-mixed-DS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IIIT-L/roberta-large-finetuned-non-code-mixed-DS: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/IIIT-L/roberta-large-finetuned-non-code-mixed-DS/resolve/main/training_args.bin
- Command line
-
hf download hf://IIIT-L/roberta-large-finetuned-non-code-mixed-DS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IIIT-L/roberta-large-finetuned-non-code-mixed-DS/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- efbc20fce8fcab396fb28df3d4ba4a4e6df54390c5e079347d3b3e8e46d9e243
- Size of remote file:
- 3.38 kB
- SHA256:
- 1cf5060c3801028f158e05eac920bc3d443c2477d908a00f3ac90b7640bfe730
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