Add converted nlp_base.pt weights from fairseq

Original weights can be found in https://dl.fbaipublicfiles.com/fairseq/data2vec/nlp_base.pt
The weights were converted using convert_data2vec_original_pytorch_checkpoint_to_pytorch.py with no classification_head

config.json

@@ -0,0 +1,26 @@
+{
+  "architectures": [
+    "Data2VecForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "data2vec",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ddd3b1e4f5c2d6566adc2a6b913b661d37e8854bcdeafc223b65ee85568bf84
+size 498872939