Comments (2)
chschroeder
commented on May 28, 2024
TL;DR: The problem has been fixed for the main branch. The current docs still have that problem until I make a bugfix release v1.0.1 or finalize the next version v.1.1.0.
The notebook links pointed to the main branch in which the notebook code was adapted to reflect recent code changes except for the version which still pointed at 1.0.0. The ideal behavior is probably (besides reflecting about my git branching workflow) that the README.md / docs always point to the latest release. I have fixed this for the main branch.
Still, notebooks examples that are not working is an awkward situation. Thank you very much for reporting that issue, @kbschliep!
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chschroeder
commented on May 28, 2024
I just released v1.0.1. Everything should be fixed now 👍.
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
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