Text Classification
PEFT
Safetensors
English
Hindi
lora
hinglish
intent-classification
education
code-mixing
Instructions to use persuasivepost/eduhinglish-muril-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use persuasivepost/eduhinglish-muril-intent with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("/content/drive/MyDrive/EduHinglish/models/muril_intent_v3") model = PeftModel.from_pretrained(base_model, "persuasivepost/eduhinglish-muril-intent") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from persuasivepost/eduhinglish-muril-intent: direct link, hf CLI and curl.
- Browser
- Download file 6.41 MB
-
https://huggingface.co/persuasivepost/eduhinglish-muril-intent/resolve/main/tokenizer.json
- Command line
-
hf download hf://persuasivepost/eduhinglish-muril-intent/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/persuasivepost/eduhinglish-muril-intent/resolve/main/tokenizer.json
6.41 MB
File too large to display, you can check the raw version instead.