Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use eyeonyou/logs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eyeonyou/logs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eyeonyou/logs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eyeonyou/logs") model = AutoModelForSequenceClassification.from_pretrained("eyeonyou/logs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eyeonyou/logs: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/eyeonyou/logs/resolve/main/training_args.bin
- Command line
-
hf download hf://eyeonyou/logs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eyeonyou/logs/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 31ce07b9bb99f5bf75db9584959f72e39413745673f4cf7e482750b5dcad8e9e
- Size of remote file:
- 4.98 kB
- SHA256:
- 4576c6e865530410771dfbb6d8bdf2094ab5a40071cf237bec8909f487296f37
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