Instructions to use muellerzr/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muellerzr/sequence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muellerzr/sequence_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muellerzr/sequence_classification") model = AutoModelForSequenceClassification.from_pretrained("muellerzr/sequence_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from muellerzr/sequence_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/muellerzr/sequence_classification/resolve/6ceeefcd050545f5fbc4e1695d4fdea3b2bea5bf/training_args.bin
- Command line
-
hf download hf://muellerzr/sequence_classification@6ceeefcd050545f5fbc4e1695d4fdea3b2bea5bf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/muellerzr/sequence_classification/resolve/6ceeefcd050545f5fbc4e1695d4fdea3b2bea5bf/training_args.bin
4.09 kB
- Xet hash:
- d824b04c837c691c249c56af96a0dd8ce538338eb6f1141fdda6633cc4df4c08
- Size of remote file:
- 4.09 kB
- SHA256:
- 16fc02807c4f10ecf1ea37b7412719830bc6feebefb07c46f1f37b52ebe73775
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