Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use chrislee973/test-trainer-quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrislee973/test-trainer-quant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chrislee973/test-trainer-quant")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chrislee973/test-trainer-quant") model = AutoModelForSequenceClassification.from_pretrained("chrislee973/test-trainer-quant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chrislee973/test-trainer-quant: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/chrislee973/test-trainer-quant/resolve/main/training_args.bin
- Command line
-
hf download hf://chrislee973/test-trainer-quant/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chrislee973/test-trainer-quant/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 410064cdd39ca263f596f26ee55dbec5c79705659ebbd142b5785aff1e1afc41
- Size of remote file:
- 4.73 kB
- SHA256:
- 3d40bfac518fc8ce73caf438843ee3ed98c937bdd326a3478791cc6af5b0e955
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