Instructions to use tyzhu/mulsyn_classifiers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use tyzhu/mulsyn_classifiers with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("tyzhu/mulsyn_classifiers", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download classifier-provenance.json from tyzhu/mulsyn_classifiers: direct link, hf CLI and curl.
- Browser
- Download file 41 kB
-
https://huggingface.co/tyzhu/mulsyn_classifiers/resolve/main/classifier-provenance.json
- Command line
-
hf download hf://tyzhu/mulsyn_classifiers/classifier-provenance.json
-
curl -L -o classifier-provenance.json https://huggingface.co/tyzhu/mulsyn_classifiers/resolve/main/classifier-provenance.json
41 kB
| { | |
| "checked_at_utc": "2026-09-28T14:59:37.339897+00:00", | |
| "method": "Read-only bounded model prefix/tail and sampled row reads; no full model loads, requantization, GPU use, or remote writes.", | |
| "conclusions": { | |
| "source_iteration": "Round 1, supported by exact full serialized argument/dictionary prefix and full unquantized output-matrix fingerprints; rounds 0 and 2 excluded for every language.", | |
| "embedding_source": "Qwen/Qwen2-0.5B supported by numerical comparison to cached checkpoint rows, exported vectors, and preserved original classifier rows.", | |
| "scope_limit": "No historical execution manifest or quantization command log was found. These are artifact fingerprint and sampled numerical lineage checks, not full quantization reproduction. Cached checkpoint revision identifies the content compared; it does not prove the historical download revision." | |
| }, | |
| "serialization_sources": [ | |
| "https://raw.githubusercontent.com/facebookresearch/fastText/v0.9.2/src/fasttext.cc", | |
| "https://raw.githubusercontent.com/facebookresearch/fastText/v0.9.2/src/args.cc", | |
| "https://raw.githubusercontent.com/facebookresearch/fastText/v0.9.2/src/dictionary.cc", | |
| "https://raw.githubusercontent.com/facebookresearch/fastText/v0.9.2/src/densematrix.cc" | |
| ], | |
| "size_explanation": { | |
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| "extra_word": "</s>", | |
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| { | |
| "checkpoint": "Qwen/Qwen2.5-0.5B", | |
| "revision": "060db6499f32faf8b98477b0a26969ef7d8b9987", | |
| "embedding_shape": [ | |
| 151936, | |
| 896 | |
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| "quantization_fidelity_metrics": "Existing reported Spearman/top-percent overlaps were not independently reproduced in this audit; no supporting comparison log found in bounded adjacent files.", | |
| "exported_vector_file": "qwen_embeddings_new.vec", | |
| "exported_vector_header": "151646 896", | |
| "exported_vector_sampling_rule": "First 16 rows after header, all 896 dimensions per row" | |
| } | |