# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("chronbmm/xlm-roberta-sanskrit-multidomain")
model = AutoModel.from_pretrained("chronbmm/xlm-roberta-sanskrit-multidomain", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
A multidomain model for Sanskrit based on XLM-RoBERTa-base. Accepts Devanagari as input.
- Downloads last month
- 75
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chronbmm/xlm-roberta-sanskrit-multidomain")