Comments (2)
aditya624
commented on May 28, 2024
1
Thank you. this works. :)
Hi Aditya,
thank you very much for reporting this problem!
Some parts of the examples seem to have not been adapted to recent changes. I fixed this just now and released
1.0.0a6. If you reinstall now (pip install small-text[pytorch]==1.0.0.a6) this problem should be solved.In case you are using a newer pytorch version, also have a look at issue #2 (and downgrade pytorch if necessary).
from small-text.
chschroeder
commented on May 28, 2024
Hi Aditya,
thank you very much for reporting this problem!
Some parts of the examples seem to have not been adapted to recent changes. I fixed this just now and released 1.0.0a6.
If you reinstall now (pip install small-text[pytorch]==1.0.0.a6) this problem should be solved.
In case you are using a newer pytorch version, also have a look at issue #2 (and downgrade pytorch if necessary).
from small-text.
Related Issues (20)
- Class weighting causes nan values in loss
- TransformerBasedClassification: validations_per_epoch > 2 leaves the model in eval mode
- LightweightCoreset should allow for other distance metrics
- Add auto mixed precision flag to Pytorch-based Classifiers
- Make more SetFitClassification parameters configurable
- Cloning a nested DatasetsViews raises an AttributeError
- Inconsistency: TransformerBaseClassification.embed() returns np.float32 while SetFitClassification returns np.float64
- Add ActivePETs query strategy HOT 1
- Batch size in greedy coreset batching is different than expected
- Device-side assertion not passed when training on cuda device and when there are added tokens to the tokenizer HOT 2
- When using EmbeddingBasedQueryStrategy with some transformers, model has an unsupported input `token_type_ids` when creating embeddings. HOT 1
- Update setfit version (>1.0.0)
- Additional options for Discriminative Active Learning HOT 8
- Unify the classifiers' initialize() methods
- EGL throws error HOT 4
- Improve README.md
- Link to the respective publication in the bibliography
- 'SequenceClassifierOutput' object has no attribute 'softmax' HOT 9
- Low values in pytorch integration HOT 5
- Use of large custom transformer model HOT 1
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