Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use Bukareszt/mwik-classifier-xd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bukareszt/mwik-classifier-xd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bukareszt/mwik-classifier-xd", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bukareszt/mwik-classifier-xd", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("Bukareszt/mwik-classifier-xd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Bukareszt/mwik-classifier-xd: direct link, hf CLI and curl.
- Browser
- Download file 8.6 MB
-
https://huggingface.co/Bukareszt/mwik-classifier-xd/resolve/main/tokenizer.json
- Command line
-
hf download hf://Bukareszt/mwik-classifier-xd/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Bukareszt/mwik-classifier-xd/resolve/main/tokenizer.json
8.6 MB
File too large to display, you can check the raw version instead.