Comments (2)
This is actually not an error but just a warning from the Moses tokenizer.
We do not use a specific tokenization for Hindi and simplify apply the default English tokenizer (which may be useful for numbers etc).
"hi" is the correct ISO2 code for Hindi. You output should be correct
from laser.
Hi, I get the same response when trying to generate embeddings for Sinhala language. First I thought my use of abbreviation was incorrect. Now that I see this, it means that using "sin" as the abbreviation for sinhala language is correct. Am I right?
from laser.
Related Issues (20)
- Containerized Application, Corrupted file for bilstm.93langs.2018-12-26.pt HOT 2
- Change default tokenizer for sentence embeddings HOT 1
- The included Dockerfile and associated Flask app is out of date in multiple ways. HOT 2
- LASER3 encoders for English? (and other high res langs) HOT 2
- SPM models not available HOT 2
- Downloading models and tokenizers does not work on Windows HOT 1
- An error initializing English pipeline (on the MLH-dev branch)
- Suggestion: allow turning off punctuation normalization
- Suggestion: add normalization option in the
- Try decreasing the minimal versions of numpy and torch required by laser-encoders
- Reorganize the lists of languages
- Publish the performance of LASER2 and LASER3 encoders on each of the FLORES-200 languages
- Create a tutorial showing how LASER can be applied for downstream practical tasks (e.g. multilingual sentiment analysis) HOT 1
- Support for saving embeddings bin file in laser_encoder HOT 4
- Add 2-letter codes to the `laser_encoders` language list
- do it support qwen model? HOT 1
- How can I parallelize LASER embeddings? HOT 3
- Can't download: 403 error on some CC segments. HOT 1
- Unable to import LaserEncoderPipeline HOT 10
- Similarity calculation takes too long with LASER3 model, compared to XLM-R/LaBSE HOT 1
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from laser.