`flan-alpaca-xl` model does not appear to have a file named `pytorch_model.bin` despite sharded model present
Hey all,I’m trying to usedeclare-lab/flan-alpaca-xl(link here:declare-lab/flan-alpaca-xl at main) in Transformers using the following code in a locally run Jupyter Notebook:from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("declare-lab/flan-alpaca-xl")
model = AutoModelForSeq2SeqLM.from_pretrained("declare-lab/flan-alpaca-xl")However I am getting the error404 Client Error: Not Found for url: https://huggingface.co/declare-lab/flan-alpaca-xl/resolve/main/pytorch_model.binOSError: Can't load weights for 'declare-lab/flan-alpaca-xl'. Make sure that:

- 'declare-lab/flan-alpaca-xl' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'declare-lab/flan-alpaca-xl' is the correct path to a directory containing a file named one of pytorch_model.bin, tf_model.h5, model.ckpt.Trying it using the high level helper:from transformers import pipeline

prompt = "Write an email about an alpaca that likes flan"
model = pipeline(task="text2text-generation", model="declare-lab/flan-alpaca-xl", )
model(prompt, max_length=128, do_sample=True)Also produces the same 404 errors:404 Client Error: Not Found for url: https://huggingface.co/declare-lab/flan-alpaca-gpt4-xl/resolve/main/pytorch_model.bin
404 Client Error: Not Found for url: https://huggingface.co/declare-lab/flan-alpaca-gpt4-xl/resolve/main/tf_model.h5
404 Client Error: Not Found for url: https://huggingface.co/declare-lab/flan-alpaca-gpt4-xl/resolve/main/pytorch_model.bin
404 Client Error: Not Found for url: https://huggingface.co/declare-lab/flan-alpaca-gpt4-xl/resolve/main/tf_model.h5I have noticed that the model isshardedindeclare-lab/flan-alpaca-xl. Thispostsuggests using the latesttransformers, however despite using the latest version oftransformersfrom pip (4.31.0) it is unable to detect this sharded model.Currently using Python 3.8.11 on a Mac M1.Any ideas on how to solve this?Will I need to fork the repo and merge the two shards together into one model?