Instructions to use Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model") model = AutoModelForSequenceClassification.from_pretrained("Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
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https://huggingface.co/Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model/resolve/main/.gitattributes
- Command line
-
hf download hf://Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Joshi-Aryan/Fine_Tuned_HF_Language_Identification_Model/resolve/main/.gitattributes
214 Bytes
| optimizer.pt filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |