Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use xanore/mytt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xanore/mytt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xanore/mytt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xanore/mytt") model = AutoModelForSequenceClassification.from_pretrained("xanore/mytt") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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runs/Dec24_23-54-04_DESKTOP-4PF3H2T/events.out.tfevents.1703451586.DESKTOP-4PF3H2T.36688.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f91b4f5f9504a206d3aac1e20bde25bfa2512600d2d16a9f8325c2bceaa8c99
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size 405
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