mm
/

How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="mm/roberta-large-mld")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("mm/roberta-large-mld")
model = AutoModel.from_pretrained("mm/roberta-large-mld", device_map="auto")
Quick Links

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

roberta-large-mld

This is a pretrained roberta-large model for machine learning domain documents.

Downloads last month
100
Safetensors
Model size
0.4B params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support