Instructions to use AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("facebook/esm2_t30_150M_UR50D") model = PeftModel.from_pretrained(base_model, "AmelieSchreiber/esm2_t30_150M_ptm_qlora_2100K") - Notebooks
- Google Colab
- Kaggle
Commit ·
ccad8a7
1
Parent(s): 9c0ac17
Upload 11 files
Browse files- adapter_config.json +29 -0
- adapter_model.bin +3 -0
- added_tokens.json +7 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +54 -0
- trainer_state.json +681 -0
- training_args.bin +3 -0
- vocab.txt +33 -0
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "facebook/esm2_t30_150M_UR50D",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 1,
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"lora_dropout": 0.5,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 2,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"key",
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"value",
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"EsmSelfOutput.dense",
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"EsmIntermediate.dense",
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"EsmOutput.dense",
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"EsmContactPredictionHead.regression",
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"classifier"
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],
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"task_type": "TOKEN_CLS"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a736f147969b9f8db1faf8f1b8c2ebca0e99000fd58e7686337eb8b879d449c8
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size 1005173
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added_tokens.json
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{
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"<cls>": 0,
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"<eos>": 2,
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"<mask>": 32,
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"<pad>": 1,
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"<unk>": 3
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3de72a937f0ccc95780f8d284deca1db8530886bfc0522f9699d5bce0fa5d044
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size 1972101
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bccfd6199f27e82b1e80be70b3d54ecbcf92e0aeadb5032e076fbabb66dc8d9
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:881dea0b454e7a7b8cc9c38662ff6d4066c973f0e9755287df59379519a8196a
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size 627
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special_tokens_map.json
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{
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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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": "<cls>",
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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": "<eos>",
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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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"32": {
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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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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": true,
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"cls_token": "<cls>",
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"eos_token": "<eos>",
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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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"tokenizer_class": "EsmTokenizer",
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"tokenizer_file": null,
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"unk_token": "<unk>"
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}
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trainer_state.json
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.
|
| 31 |
+
-
|
| 32 |
+
<null_1>
|
| 33 |
+
<mask>
|