ValueError in deploying HuggingFace Model to Sagemanker with Multiple Lora Adapters
I am getting below ValueError in deploying HuggingFace Model to Sagemanker with Multiple LoRA AdaptersValueError: The checkpoint you are trying to load has model typestarcoder2but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.Let me know if anyone has faced this earlier
2024-10-21T22:24:57Z
Maybe this issue.github.com/bigcode-project/starcoder2Clash in requirements for finetuning Starcoder2opened10:35PM - 10 Mar 24 UTCExorust#Facing the following error while trying to finetune Starcoder2 with the given s…cript. 

### Description:
For `transformers.AutoModelForCausalLM` to recognize Starcoder2 `transformers>4.39.0` is required.

But `trl` is still using `transformers==4.38.2`. Even if I compile from source & use `trl=0.7.12.dev0` I still get an issue.


## Here is the error with using `transformers==4.38.2`

```
KeyError                                  Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
   1127             try:
-> 1128                 config_class = CONFIG_MAPPING[config_dict["model_type"]]
   1129             except KeyError:

4 frames
KeyError: 'starcoder2'

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py](https://localhost:8080/#) in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
   1128                 config_class = CONFIG_MAPPING[config_dict["model_type"]]
   1129             except KeyError:
-> 1130                 raise ValueError(
   1131                     f"The checkpoint you are trying to load has model type `{config_dict['model_type']}` "
   1132                     "but Transformers does not recognize this architecture. This could be because of an "

ValueError: The checkpoint you are trying to load has model type `starcoder2` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date. 
```

## Here is the error when using `transformers==4.39.0`

```
ImportError                               Traceback (most recent call last)
[<ipython-input-2-3ef713ffd06d>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from trl import SFTTrainer
      2 print("trl version:", trl.__version__)

1 frames
[/usr/local/lib/python3.10/dist-packages/trl/__init__.py](https://localhost:8080/#) in <module>
      3 __version__ = "0.7.12.dev0"
      4 
----> 5 from .core import set_seed
      6 from .environment import TextEnvironment, TextHistory
      7 from .extras import BestOfNSampler

[/usr/local/lib/python3.10/dist-packages/trl/core.py](https://localhost:8080/#) in <module>
     23 import torch.nn.functional as F
     24 from torch.nn.utils.rnn import pad_sequence
---> 25 from transformers import top_k_top_p_filtering
     26 
     27 from .import_utils import is_npu_available, is_xpu_available

ImportError: cannot import name 'top_k_top_p_filtering' from 'transformers' (/usr/local/lib/python3.10/dist-packages/transformers/__init__.py)

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```