Comments (2)
Hello,
I recommend you execute the code snippet provided in the model card, where the argument trust_remote_code=True
is added. This is necessary because the config and model file were written by someone other than HuggingFace (us).
I went ahead and added an extra step so that when not providing this argument, the architecture does not revert to standard ESM architecture (which is where the shape mismatch come from).
from nucleotide-transformer.
it perfectly works, thanks!
from nucleotide-transformer.
Related Issues (20)
- Fix v2 api
- Update README.txt
- Prediction using fine-tined model with LoRA HOT 1
- Can I simply take 'CLS' token as my sequence representations? HOT 1
- Inquiry Regarding Details of Section A.5.4 HOT 1
- Provide more examples and real world use cases
- Bug: jax version issues on TPU Colab
- Add Agro NT model
- NT nucleotide-level splice site prediction HOT 1
- Training process for Nucleotide Transformer Model HOT 1
- Checkpoints are not downloading. HOT 1
- v2 checkpoints for TensorFlow HOT 3
- Fix typos in colab notebook
- Extend SegmentNT notebook
- Remove unwanted prints
- Fix mismatch in sequence position for Fig 3
- Add description to SegmentNT notebook
- Cannot download the pre-training weight HOT 2
- Enable downloading model without tqdm
- Confusion about the max_positions value HOT 1
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from nucleotide-transformer.