Instructions to use facebook/MobileLLM-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/MobileLLM-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/MobileLLM-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
a horrible function in `modeling_mobilellm.py`
#5
by J22 - opened
if not (...., False) is killing me.
def get_output_embeddings(self):
return (
self.lm_head
if not getattr(self.config, "share_embedding", False)
else self.get_input_embeddings()
)
I would do it this way:
def get_output_embeddings(self):
return (
self.get_input_embeddings()
if getattr(self.config, "share_embedding", False)
else self.lm_head
)
This is even better, but default value is changed:
def get_output_embeddings(self):
return (
self.get_input_embeddings()
if getattr(self.config, "share_embedding", True)
else self.lm_head
)
Thanks for pointing that out. 😆 We modified modeling.py!
zechunliu changed discussion status to closed