Transformers
How to use from the
Use from the
Transformers library
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("cstr/wmt21ct2_int8", device_map="auto")
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facebook/wmt21-dense-24-wide-en-x translation model in int8 (4.7gb), cf. the model as safetensor

Provenance and EU AI Act Art. 53 note

  • Upstream model: facebook/wmt21-dense-24-wide-en-x โ€” published by facebook.
  • Upstream licence: mit. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
  • What was done here: format conversion and/or quantisation only (CTranslate2, INT8 precision). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
  • Training data: documented โ€” where it is documented at all โ€” by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
  • Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.
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