Instructions to use Monda/camelbertMIX-HARD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monda/camelbertMIX-HARD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Monda/camelbertMIX-HARD")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Monda/camelbertMIX-HARD") model = AutoModelForSequenceClassification.from_pretrained("Monda/camelbertMIX-HARD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Monda/camelbertMIX-HARD: direct link, hf CLI and curl.
- Browser
- Download file 776 kB
-
https://huggingface.co/Monda/camelbertMIX-HARD/resolve/main/tokenizer.json
- Command line
-
hf download hf://Monda/camelbertMIX-HARD/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Monda/camelbertMIX-HARD/resolve/main/tokenizer.json
776 kB
File too large to display, you can check the raw version instead.