Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use Osquery/1a5e2b8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Osquery/1a5e2b8e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Osquery/1a5e2b8e")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Osquery/1a5e2b8e") model = AutoModelForTokenClassification.from_pretrained("Osquery/1a5e2b8e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Osquery/1a5e2b8e: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
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https://huggingface.co/Osquery/1a5e2b8e/resolve/main/training_args.bin
- Command line
-
hf download hf://Osquery/1a5e2b8e/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Osquery/1a5e2b8e/resolve/main/training_args.bin
4.73 kB
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