Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SmilestheSad/hf_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmilestheSad/hf_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SmilestheSad/hf_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmilestheSad/hf_trainer") model = AutoModelForSequenceClassification.from_pretrained("SmilestheSad/hf_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from SmilestheSad/hf_trainer: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
-
https://huggingface.co/SmilestheSad/hf_trainer/resolve/main/config.json
- Command line
-
hf download hf://SmilestheSad/hf_trainer/config.json
-
curl -L -o config.json https://huggingface.co/SmilestheSad/hf_trainer/resolve/main/config.json
1.04 kB
| { | |
| "_name_or_path": "distilbert-base-multilingual-cased", | |
| "activation": "gelu", | |
| "architectures": [ | |
| "DistilBertForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.1, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "hidden_dim": 3072, | |
| "id2label": { | |
| "0": "wine", | |
| "1": "food", | |
| "2": "spirits", | |
| "3": "beer", | |
| "4": "cocktail", | |
| "5": "soft drink", | |
| "6": "sake", | |
| "7": "coffee", | |
| "8": "tea", | |
| "9": "other" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "beer": 3, | |
| "cocktail": 4, | |
| "coffee": 7, | |
| "food": 1, | |
| "other": 9, | |
| "sake": 6, | |
| "soft drink": 5, | |
| "spirits": 2, | |
| "tea": 8, | |
| "wine": 0 | |
| }, | |
| "max_position_embeddings": 512, | |
| "model_type": "distilbert", | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "problem_type": "multi_label_classification", | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.22.1", | |
| "vocab_size": 119547 | |
| } | |