Text Classification
Transformers
PyTorch
TensorBoard
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use caush/TestMeanFraction2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caush/TestMeanFraction2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="caush/TestMeanFraction2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("caush/TestMeanFraction2") model = AutoModelForSequenceClassification.from_pretrained("caush/TestMeanFraction2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03a62280435a1d427d793a92892697d74e3c2dc0fc07ecb514161f43e65452e4
- Size of remote file:
- 272 MB
- SHA256:
- 4bc858c449307ccdee8e5d29476bd71813403b3624877f1186226ad5555cce55
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