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I have a naive question, if I have a pre-trained transformer model (pre-train task is a regression probelem), can I using the embedding of this model to training a decode model to decode embeddings to…
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### System Info
- `transformers` version: 4.38.0.dev0
- Platform: Linux-4.15.0-142-generic-x86_64-with-glibc2.23
- Python version: 3.10.11
- Huggingface_hub version: 0.20.3
- Safetensors versio…
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I am using 'sentence-transformers/all-mpnet-base-v2'. My question is what happens when I encode a text longer than 384 tokens?
Does the model embed sentences in the longer text separately?
If so ho…
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If you haven’t already, check out our [contributing guidelines](https://github.com/Expensify/ReactNativeChat/blob/main/contributingGuides/CONTRIBUTING.md) for onboarding and email contributors@expensi…
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Thank you for this great package! I was trying to replicate what was proposed on the GitHub page, that is:
```
import xgboost
import shap
# train an XGBoost model
X, y = shap.datasets.boston()
…
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### Description
According to "Anomaly scoring is based on overlapping segments: a true positive (TP) if a known anomalous window overlaps any detected windows, a false negative (FN) if a known anomal…
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Hi,
after trying to convert an own pretrained model checkpoint into Transformers library with the following code snippet:
```
# LM Head
model.lm_head.dense.weight = data2vec_model.encoder.lm_h…
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Pytorch gives a series of inconsistent error messages before seg faulting in the playground, no necessarily after using any functions, sometimes after reloading a script that uses pytorch. This is a r…
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Issue type:
[ ] question
[x] bug report
[ ] feature request
[ ] documentation issue
Database system/driver:
- [ ] `aurora-data-api`
- [ ] `aurora-data-api-pg`
- [ ] `better-sqlite3`
- [ ]…
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/home/lsw/miniconda3/envs/SOTS/bin/python /home/lsw/SOT/SOTS/tracking/test_sot.py
model backbone: ResNet50Dilated
model neck: ShrinkChannelS3S4
model head: Learn2Match
model build done!
SiamInfer…
wyl12 updated
2 months ago