How to use gubartz/sparse_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gubartz/sparse_model")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gubartz/sparse_model") model = AutoModelForMaskedLM.from_pretrained("gubartz/sparse_model")
85fcf2d
1
2
3
4
5
6
{ "_from_model_config": true, "pad_token_id": 0, "transformers_version": "4.30.2" }
