Fill-Mask
Transformers
PyTorch
eurobert
code
custom_code
File size: 1,241 Bytes
acd4124
 
 
 
16df2f9
 
 
 
 
 
 
acd4124
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
{
  "architectures": [
    "EuroBertForMaskedLM"
  ],
  "auto_map": {
    "AutoConfig": "configuration_eurobert.EuroBertConfig",
    "AutoModel": "modeling_eurobert.EuroBertModel",
    "AutoModelForPreTraining": "modeling_eurobert.EuroBertPreTrainedModel",
    "AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM",
    "AutoModelForSequenceClassification": "modeling_eurobert.EuroBertForSequenceClassification"
  },
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token": "<|begin_of_text|>",
  "bos_token_id": 128000,
  "eos_token": "<|end_of_text|>",
  "eos_token_id": 128001,
  "pad_token": "<|end_of_text|>",
  "pad_token_id": 128001,
  "mask_token": "<|mask|>",
  "mask_token_id": 128002,
  "hidden_act": "silu",
  "hidden_dropout": 0.0,
  "hidden_size": 2304,
  "initializer_range": 0.02,
  "intermediate_size": 6144,
  "max_position_embeddings": 8192,
  "model_type": "eurobert",
  "num_attention_heads": 18,
  "num_hidden_layers": 32,
  "num_key_value_heads": 6,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 250000,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.40.0.dev0",
  "vocab_size": 128256,
  "is_decoder": false
}