readme: ---
  license: apache-2.0
  tags:
  model-index:
  - name: data2vec-nlp-base
    results: []
  ---
  # 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:
  ```python
  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
  ```
  