Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use chrislee973/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrislee973/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chrislee973/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chrislee973/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("chrislee973/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chrislee973/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/chrislee973/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://chrislee973/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chrislee973/test-trainer/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 0fd14488d47568d309e4be8a0a7e60f0cff236901c107e7852bcab90bd2ca327
- Size of remote file:
- 4.66 kB
- SHA256:
- b36437a72706adf535446cf86b8532471f48a296fcee607e19b1e7e53df5e13a
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