Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use whoisjones/finerweb-binary-classifier-xlmr-4o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjones/finerweb-binary-classifier-xlmr-4o with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjones/finerweb-binary-classifier-xlmr-4o")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjones/finerweb-binary-classifier-xlmr-4o") model = AutoModelForSequenceClassification.from_pretrained("whoisjones/finerweb-binary-classifier-xlmr-4o", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06ca21008169053502dac1a778575d4c422e23fe3db497f38b308dd85f472d3a
- Size of remote file:
- 5.62 kB
- SHA256:
- 09327822b632604dae1b02c4ab0816640ff5b9490d3788b5d935203707e60451
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