Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use LysandreJik/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/testing") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/testing") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 25c3757
update model card README.md
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README.md
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### Framework versions
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- Transformers 4.
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- Pytorch 1.9.0+cu111
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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### Framework versions
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- Transformers 4.11.0.dev0
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- Pytorch 1.9.0+cu111
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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