Comments (4)
Yes, I hard coded that since the pre-trained models are all trained with gelu anyway.
from transformers.
ok. but since config is there anyway, isn't it cleaner to use it (to avoid errors for people using configs that use a different activation for some reason) ?
from transformers.
Yes we can, I'll change that in the coming first release (unless you would like to submit a PR which I would be happy to merge).
from transformers.
yeah let me clean up and I'll PR
from transformers.
Related Issues (20)
- ReadTimeOutError with from_pretrained for some model checkpoints only HOT 1
- The Phi-3 tokenizer is not inverting the chat template correctly. HOT 3
- i cannot find the code that transformers trainer model_wrapped by deepspeed , i can find the theory about model_wrapped was wraped by DDP(Deepspeed(transformer model )) ,but i only find the code transformers model wrapped by ddp, where is the deepspeed wrapped ? thanks ^-^ HOT 4
- Whisper Translation on low resource languages
- Cache in different devices when use split model with dispatch_model() function and model.generate()
- ChatGLM3-6b测试模型时报错AttributeError: can't set attribute HOT 1
- i cannot find the code that transformers trainer model_wrapped by deepspeed , i can find the theory about model_wrapped was wraped by DDP(Deepspeed(transformer model )) ,but i only find the code transformers model wrapped by ddp, where is the deepspeed wrapped ? thanks ^-^ HOT 1
- AutoModal how to enable TP for extremly large models? HOT 2
- `model.safetensors` missing in model file not found error in default case
- Cannot convert llama 3 model to hf HOT 2
- error when using PPO in Gemma HOT 9
- Llama3 models causing `TypeError: not a string` error in LlamaTokenizer HOT 4
- Some functional problems in the implementation of Speculative Decoding HOT 3
- Error During Training with PatchTSMixerForTimeSeriesClassification for Time Series Classification HOT 1
- Whisper assistant decoding not working with pipeline
- Error During Training with PatchTSMixerForTimeSeriesClassification for Time Series Classification
- TypeError: WhisperForConditionalGeneration.forward() got an unexpected keyword argument 'model' HOT 5
- FutureWarning about resume_download is raised after huggingface-hub 0.23.0 release
- Remove pipelines, chatformatters, templates etc --> Replace with simple generator function / manual string interpolation ---> Just have one standardized way for building datasets and running inference HOT 2
- HTML Files Keep on Loading HOT 1
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from transformers.