Instructions to use sms1097/retrieval_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sms1097/retrieval_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sms1097/retrieval_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sms1097/retrieval_model") model = AutoModelForSequenceClassification.from_pretrained("sms1097/retrieval_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
- run-0/checkpoint-13356/config.json +25 -0
- run-0/checkpoint-13356/model.safetensors +3 -0
- run-0/checkpoint-13356/optimizer.pt +3 -0
- run-0/checkpoint-13356/rng_state.pth +3 -0
- run-0/checkpoint-13356/scheduler.pt +3 -0
- run-0/checkpoint-13356/special_tokens_map.json +7 -0
- run-0/checkpoint-13356/tokenizer.json +0 -0
- run-0/checkpoint-13356/tokenizer_config.json +55 -0
- run-0/checkpoint-13356/trainer_state.json +207 -0
- run-0/checkpoint-13356/training_args.bin +3 -0
- run-0/checkpoint-13356/vocab.txt +0 -0
- runs/Feb05_22-24-00_760f8e25befd/events.out.tfevents.1707171842.760f8e25befd.956.0 +2 -2
model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 267832560
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run-0/checkpoint-13356/config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"vocab_size": 30522
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}
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run-0/checkpoint-13356/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:455e1b3d30c65b601cb9015a0fc8be70c0f51850c8ccb7f28ea47e432cdc4b7b
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size 267832560
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run-0/checkpoint-13356/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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run-0/checkpoint-13356/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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run-0/checkpoint-13356/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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run-0/checkpoint-13356/special_tokens_map.json
ADDED
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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run-0/checkpoint-13356/tokenizer.json
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The diff for this file is too large to render.
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run-0/checkpoint-13356/tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"single_word": false,
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"special": true
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"single_word": false,
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"special": true
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}
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"clean_up_tokenization_spaces": true,
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| 45 |
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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run-0/checkpoint-13356/trainer_state.json
ADDED
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