Instructions to use T0KII/MASRIBERTV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T0KII/MASRIBERTV4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="T0KII/MASRIBERTV4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("T0KII/MASRIBERTV4") model = AutoModelForMaskedLM.from_pretrained("T0KII/MASRIBERTV4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 23412, checkpoint
Browse files- checkpoint-23412/config.json +36 -0
- checkpoint-23412/model.safetensors +3 -0
- checkpoint-23412/optimizer.pt +3 -0
- checkpoint-23412/rng_state.pth +3 -0
- checkpoint-23412/scaler.pt +3 -0
- checkpoint-23412/scheduler.pt +3 -0
- checkpoint-23412/tokenizer.json +0 -0
- checkpoint-23412/tokenizer_config.json +16 -0
- checkpoint-23412/trainer_state.json +1062 -0
- checkpoint-23412/training_args.bin +3 -0
checkpoint-23412/config.json
ADDED
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{
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"add_cross_attention": false,
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"architectures": [
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"BertForMaskedLM"
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],
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| 6 |
+
"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"bos_token_id": null,
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| 8 |
+
"classifier_dropout": null,
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| 9 |
+
"directionality": "bidi",
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| 10 |
+
"dtype": "float32",
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| 11 |
+
"eos_token_id": null,
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| 12 |
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"gradient_checkpointing": false,
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| 13 |
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"hidden_act": "gelu",
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| 14 |
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"hidden_dropout_prob": 0.1,
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| 15 |
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"hidden_size": 768,
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| 16 |
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"initializer_range": 0.02,
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| 17 |
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"intermediate_size": 3072,
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| 18 |
+
"is_decoder": false,
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| 19 |
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"layer_norm_eps": 1e-12,
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| 20 |
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"max_position_embeddings": 512,
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| 21 |
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"model_type": "bert",
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| 22 |
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"num_attention_heads": 12,
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| 23 |
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"num_hidden_layers": 12,
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| 24 |
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"pad_token_id": 0,
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| 25 |
+
"pooler_fc_size": 768,
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| 26 |
+
"pooler_num_attention_heads": 12,
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| 27 |
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"pooler_num_fc_layers": 3,
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| 28 |
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"pooler_size_per_head": 128,
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| 29 |
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"pooler_type": "first_token_transform",
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| 30 |
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"position_embedding_type": "absolute",
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| 31 |
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"tie_word_embeddings": false,
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| 32 |
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"transformers_version": "5.0.0",
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| 33 |
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"type_vocab_size": 2,
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| 34 |
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"use_cache": false,
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| 35 |
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"vocab_size": 100000
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| 36 |
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}
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checkpoint-23412/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:84145ee3498ee4b7bd97d366f4d52d04330f2568abc629f508b961b321b39e70
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| 3 |
+
size 959395416
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checkpoint-23412/optimizer.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3e6d47b3619e9b45ec256e4abcd02d18cfd13ffa790253eae69efd247204caee
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| 3 |
+
size 1918914187
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checkpoint-23412/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0ddfee62ce9ae994f13c8ead792293700121bf1c5fbadcae43fc68cfa3edaef0
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| 3 |
+
size 14645
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checkpoint-23412/scaler.pt
ADDED
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:71918224aa7e0fc4df1fecb923e3fc5a1abd7be7aa7fd28ca74d08a72a803333
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| 3 |
+
size 1383
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checkpoint-23412/scheduler.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0d00e39ce01908705dd3b62a5db56b6035c6c41934943fbf24d0739f7a64f195
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| 3 |
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size 1465
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checkpoint-23412/tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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checkpoint-23412/tokenizer_config.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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| 4 |
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"do_basic_tokenize": true,
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| 5 |
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"do_lower_case": true,
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| 6 |
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"is_local": false,
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| 7 |
+
"mask_token": "[MASK]",
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| 8 |
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"model_max_length": 1000000000000000019884624838656,
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| 9 |
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"never_split": null,
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| 10 |
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"pad_token": "[PAD]",
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| 11 |
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"sep_token": "[SEP]",
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| 12 |
+
"strip_accents": null,
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| 13 |
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"tokenize_chinese_chars": true,
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| 14 |
+
"tokenizer_class": "BertTokenizer",
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| 15 |
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"unk_token": "[UNK]"
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| 16 |
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}
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checkpoint-23412/trainer_state.json
ADDED
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@@ -0,0 +1,1062 @@
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