ALBERT classification record
Captured configuration records AlbertForSequenceClassification with model type albert and Transformers support.
Open Source Model Profile · voidful
albert_chinese_small_sentiment
albert_chinese_small_sentiment is a 4.74M-parameter ALBERT text-classification model from voidful with Transformers support.
- Publisher
- voidful
- Task
- text-classification
- Model type
- albert
- License
- openrail
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
albert_chinese_small_sentiment is published by voidful as a text-classification model. The captured configuration identifies AlbertForSequenceClassification and Safetensors metadata reports 4,743,554 parameters. The repository identifier indicates a small Chinese sentiment scope, with card data recording openrail licensing.
Recorded capabilities
Compact parameter count
Captured Safetensors metadata reports 4,743,554 parameters, or about 4.74M.
OpenRAIL license record
Card data records openrail.
Use cases in the source record
- Text-classification workflows using the Transformers implementation suggested by the recorded pipeline tag and library.
Limitations and unknowns
- No model card was present in this record, so training data, languages, label set, and evaluation detail are unknown.
- No evaluation results were extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: voidful/albert_chinese_small_sentiment
Captured: Unknown. Processed: 2026-09-07T19:35:00.590913+00:00.
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