Not able to run hello world example, bigcode/starcoder is not a valid model identifier
Hi,
I tried running the following, and get an error. Is the model path correct ?
Thanks.
--
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
model_ckpt = "bigcode/starcoder"
#model_ckpt = "https://huggingface.co/bigcode/starcoder"
model = AutoModelForCausalLM.from_pretrained(model_ckpt)
tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device="cuda:2")
print( pipe("def hello():") )
--
...
OSError: bigcode/starcoder is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
You have to login using huggingface_hub. Look at the Quickstart guide
Hi. You should go to hf.co/bigcode/starcoder and fill accept the agreement if you want to be able to use the model. You would also want to connect using huggingface-cli.
Maybe you also need some requirements:
Set your personal access token to the use_auth_token parameter when you call from_pretrained.
I have same issue. Tried to login using huggingface_hub, install all requirements, only
@cactusthecoder8
recomendation helped, to use use_auth_token parameter to download tokenizer, but then running fails on the next linemodel = AutoModelForCausalLM.from_pretrained(checkpoint, trust_remote_code=True).to(device)
With error:
We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like bigcode/starcoder is not the path to a directory containing a {configuration_file} file. Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
Can you try adding use_auth_token to model loading too (btw you don't need trust_remote_code=True). Overall if you accept the agreement on the model page and follow these steps it should work (assuming you have enough memory):
!pip install transformers==4.28.1
!huggingface-cli login
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("bigcode/starcoder")
model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder")
Can you try adding
use_auth_tokento model loading too (btw you don't needtrust_remote_code=True). Overall if you accept the agreement on the model page and follow these steps it should work (assuming you have enough memory):!pip install transformers==4.28.1 !huggingface-cli loginfrom transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("bigcode/starcoder") model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder")
What is the recommended memory?
What is the recommended memory?
RAM: There are 7 checkpoints with approximately 10G per shard.
GPU memory: definitely > 16 G but 32G is enough
What is the recommended memory?
RAM: There are 7 checkpoints with approximately 10G per shard.
GPU memory: definitely > 16 G but 24G is enough
Oh :( I suppose that is the reason I'm getting a killed application when I try to run the example... thanks mate!
Summarizing the suggestions that fixed the problem for me: (these are in addition to pip install of requirements.txt)
a) accept the license agreement on https://huggingface.co/bigcode/starcoder
b) get access token for starcoder from https://huggingface.co/settings/tokens
c) run 'huggingface-cli login' --> use token provided above
@rameshn how to accept the license agreement ?
Summarizing the suggestions that fixed the problem for me: (these are in addition to pip install of requirements.txt)
a) accept the license agreement on https://huggingface.co/bigcode/starcoder
b) get access token for starcoder from https://huggingface.co/settings/tokens
c) run 'huggingface-cli login' --> use token provided above
What is the recommended memory?
RAM: There are 7 checkpoints with approximately 10G per shard.
GPU memory: definitely > 16 G but 32G is enough
wait,me stupid, do i need 10G or 70G of RAM?
70GB for storage