Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HyunJoo1004/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyunJoo1004/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyunJoo1004/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyunJoo1004/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("HyunJoo1004/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HyunJoo1004/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/HyunJoo1004/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://HyunJoo1004/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HyunJoo1004/test-trainer/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 26c64070c6c288b90693d46165fa8d4db7defb45b4e1af13fdc09021129193e0
- Size of remote file:
- 5.18 kB
- SHA256:
- a38b6a46d504b99fb4fcda5e347cd8325557712d2bd653e8134484bae4ba5596
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