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")# 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
- Xet hash:
- a81a3c1cc6076cd5ddbbfe4f39f0061a30588f6b4732a448d949a258151e051a
- Size of remote file:
- 1.11 GB
- SHA256:
- d0dad78c51d82d6311378bc2b3f90957a56d82d5e95e7ee81b6ffdf2d901db91
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