Text Classification
Transformers
Safetensors
Hindi
English
bert
hinglish
code-mixed
research
hate-speech-detection
text-embeddings-inference
Instructions to use OmTheLast/muril-hinglish-mixed-cm-thar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OmTheLast/muril-hinglish-mixed-cm-thar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OmTheLast/muril-hinglish-mixed-cm-thar")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OmTheLast/muril-hinglish-mixed-cm-thar") model = AutoModelForSequenceClassification.from_pretrained("OmTheLast/muril-hinglish-mixed-cm-thar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from OmTheLast/muril-hinglish-mixed-cm-thar: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
-
https://huggingface.co/OmTheLast/muril-hinglish-mixed-cm-thar/resolve/main/requirements.txt
- Command line
-
hf download hf://OmTheLast/muril-hinglish-mixed-cm-thar/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/OmTheLast/muril-hinglish-mixed-cm-thar/resolve/main/requirements.txt
71 Bytes
| transformers==4.57.6 | |
| torch>=2.2 | |
| safetensors>=0.4 | |
| huggingface-hub>=0.36 | |