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/main/training_args.bin
- Command line
-
hf download hf://muellerzr/sequence_classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/muellerzr/sequence_classification/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- e8cb139feb63c1e11179f8f062c252c931595df7f33f1f48451d39168c8b1814
- Size of remote file:
- 4.09 kB
- SHA256:
- 1f5c253bb809e6e1aaec06221823ce89b0e413846da6bb647b1d1494b042fa5c
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