Comments (1)
Please read the README of the project, we are no longer supporting OpenNMT-py and switching to https://github.com/eole-nlp/eole
I suggest you to switch to eole if you intend to get support in the future.
The server in eole is not ready yet but future devs will be done there.
cheers.
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Related Issues (20)
- Support for torch 2.2 HOT 5
- Device side assert triggered on AWQ Mistral converted model HOT 2
- (Again, but different) AssertionError: assert model_dim % head_count == 0 HOT 2
- OpenNMT v3.5.0 training fails using Multi headed attention HOT 3
- Custom callbacks for metrics, saving checkpoints HOT 4
- AttributeError: 'Namespace' object has no attribute 'block_ngram_repeat'
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 55: invalid start byte HOT 1
- Index out of range HOT 2
- Canʻt get past Sentencepiece subword tokenization with pretrained embeddings
- Issues with Custom SentencePiece Models and Pretrained Embeddings in Training
- Error when translating with scores (--with_scores) option enabled HOT 1
- Supported languages HOT 1
- Unable to use translate HOT 1
- High training/validation PPL observed with v3 compared to v2 HOT 3
- all_reduce_and_rescale_tensors gives IndexError: list index out of range HOT 1
- copy_attn causes RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select) HOT 3
- An error in model's partition and checkpoint's slice was detected
- use gpu 1 HOT 3
- Support for relative position embedding in the Encoder-Decoder attention (Context Attention)
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