Instructions to use lanhf/mamba-vn-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lanhf/mamba-vn-pretrained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lanhf/mamba-vn-pretrained", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 10 files
Browse files- added_tokens.json +3 -0
- bpe.codes +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +54 -0
- trainer_state.json +28 -0
- vocab.txt +0 -0
added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:12fd41ed33d5ea2f166f9c1a39f03952caf3a58b6f657c5f2f898775aee1c36f
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size 1117630586
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f3aa713ca654d2c22148a396dd7536bd540d9752f8d3d63b067ff7cf07dcded
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size 558805906
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9196a1e708bf24d6abba41cce3f8558820acc3e50f9394c5955e29eb41ffea3d
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:83b0746f6318aace4529fb3f26f4c89273b807bb23757f765fd62f86e286ea8b
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size 1064
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"64000": {
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"content": "<mask>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "PhobertTokenizer",
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"unk_token": "<unk>"
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 1438,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.39,
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"grad_norm": 0.4882839620113373,
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"learning_rate": 7.681965693092258e-05,
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"loss": 0.2088,
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"step": 1000
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}
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],
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"logging_steps": 1000,
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"max_steps": 4314,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 6,
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"save_steps": 500,
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"total_flos": 0.0,
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"train_batch_size": 32,
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"trial_name": null,
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"trial_params": null
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}
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vocab.txt
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