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 model.safetensors from whoisjones/finerweb-binary-classifier-mdeberta-gemma3: direct link, hf CLI and curl.
- Browser
- Download file 1.12 GB
-
https://huggingface.co/whoisjones/finerweb-binary-classifier-mdeberta-gemma3/resolve/main/model.safetensors
- Command line
-
hf download hf://whoisjones/finerweb-binary-classifier-mdeberta-gemma3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/whoisjones/finerweb-binary-classifier-mdeberta-gemma3/resolve/main/model.safetensors
1.12 GB
- Xet hash:
- 8fdc12e7f336dd8e00e001caf810b312d7cf1fee07731c108961463dceb996bc
- Size of remote file:
- 1.12 GB
- SHA256:
- 60e4b54339be91cb82d150601635c8c8fbac49c2572e2ef3ed8e083156df1016
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