Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use whoisjones/finerweb-binary-classifier-mdeberta-gemma3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjones/finerweb-binary-classifier-mdeberta-gemma3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjones/finerweb-binary-classifier-mdeberta-gemma3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-gemma3") model = AutoModelForSequenceClassification.from_pretrained("whoisjones/finerweb-binary-classifier-mdeberta-gemma3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from whoisjones/finerweb-binary-classifier-mdeberta-gemma3: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/whoisjones/finerweb-binary-classifier-mdeberta-gemma3/resolve/main/tokenizer.json
- Command line
-
hf download hf://whoisjones/finerweb-binary-classifier-mdeberta-gemma3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/whoisjones/finerweb-binary-classifier-mdeberta-gemma3/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- 98015353f7e6a1ac4ddcc99195459c8f2ab0bdde3ce30e7146a108c4ff2e0044
- Size of remote file:
- 16.4 MB
- SHA256:
- 9ddbe35b768b22d6cd0d61a0a88ea3a188b7c00bbb7b825f9f247cf0b79c2365
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