YAML Metadata
Error:
"tags" must be an array
Data2Vec NLP Base
This model was converted from fairseq
.
The original weights can be found in https://dl.fbaipublicfiles.com/fairseq/data2vec/nlp_base.pt
Example usage:
from transformers import RobertaTokenizer, Data2VecForSequenceClassification, Data2VecConfig
import torch
tokenizer = RobertaTokenizer.from_pretrained("roberta-large")
config = Data2VecConfig.from_pretrained("edugp/data2vec-nlp-base")
model = Data2VecForSequenceClassification.from_pretrained("edugp/data2vec-nlp-base", config=config)
# Fine-tune this model
inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
outputs = model(**inputs)
prediction_logits = outputs.logits
- Downloads last month
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.