Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use thom-ndis/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thom-ndis/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thom-ndis/trainer_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thom-ndis/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("thom-ndis/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thom-ndis/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/thom-ndis/trainer_output/resolve/8071ccde1a1e3f89a346093c5c595f1d37e472ca/training_args.bin
- Command line
-
hf download hf://thom-ndis/trainer_output@8071ccde1a1e3f89a346093c5c595f1d37e472ca/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thom-ndis/trainer_output/resolve/8071ccde1a1e3f89a346093c5c595f1d37e472ca/training_args.bin
5.2 kB
- Xet hash:
- eb2a8bc69c5858d36e33f297c5c8835dbf59db832f42294ced6eda8ec8cbcbd9
- Size of remote file:
- 5.2 kB
- SHA256:
- d9ffb35617dc1dbae51863b10e00c999eaf05576d0adbe5ec2a970aabd09476d
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