Issues
- 1
Example notebook not working
#69 opened by 1nuno - 0
Rework query strategy documentation
#68 opened by chschroeder - 0
Add LSTMClassifier
#67 opened by chschroeder - 0
Update setfit version (>1.0.0)
#55 opened by chschroeder - 10
- 3
ValueError: high is out of bounds for int32
#66 opened by XNarno - 9
- 12
- 0
- 6
Low values in pytorch integration
#62 opened by Chirilla - 3
Active Learning with SetFit
#64 opened by savasy - 1
Use of large custom transformer model
#63 opened by Adaickalavan - 4
EGL throws error
#58 opened by emilysilcock - 0
Unify the classifiers' initialize() methods
#57 opened by chschroeder - 0
Inconsistency: TransformerBaseClassification.embed() returns np.float32 while SetFitClassification returns np.float64
#48 opened by chschroeder - 0
Improve README.md
#59 opened by chschroeder - 0
- 0
- 0
- 2
Device-side assertion not passed when training on cuda device and when there are added tokens to the tokenizer
#53 opened by LunaRaeW - 1
When using EmbeddingBasedQueryStrategy with some transformers, model has an unsupported input `token_type_ids` when creating embeddings.
#54 opened by LunaRaeW - 0
- 1
Add ActivePETs query strategy
#49 opened by chschroeder - 2
- 0
- 0
TransformerBasedClassification: validations_per_epoch > 2 leaves the model in eval mode
#40 opened by chschroeder - 1
LightweightCoreset should be batched
#23 opened by chschroeder - 1
- 0
Class weighting causes nan values in loss
#39 opened by chschroeder - 18
- 0
Dataset cloning wraps the label
#35 opened by chschroeder - 0
Add query strategy: QueryByCommittee
#34 opened by chschroeder - 0
- 1
- 3
- 1
Query by committee-of-committees
#28 opened by vahuja4 - 1
Throwing away stale data
#29 opened by vahuja4 - 7
- 2
- 5
Getting error 'RuntimeError: expected scalar type Long but found Int' while running the starting code
#25 opened by Nim248 - 1
small-text for named entity recognition model
#22 opened by glahoti6 - 1
- 2
- 2
Quickstart Colab notebooks not working
#19 opened by kbschliep - 0
More sophisticated early stopping mechanism
#18 opened by chschroeder - 3
- 3
Specifying multiple query strategies
#11 opened by HannahKirk - 0
- 0
Mulitlabel: Clf.predict(return_proba=True) only returns probabilities for labels over the threshold
#14 opened by KimBue - 4
SEALS: Similarity Search for Efficient Active Learning and Search of Rare Concepts
#12 opened by kayuksel