Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
resume-parsing
nlp
text-embeddings-inference
Instructions to use amosify/resume-section-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amosify/resume-section-classifier-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amosify/resume-section-classifier-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amosify/resume-section-classifier-v1") model = AutoModelForSequenceClassification.from_pretrained("amosify/resume-section-classifier-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "activation": "gelu", | |
| "architectures": [ | |
| "DistilBertForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": null, | |
| "dim": 768, | |
| "dropout": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "hidden_dim": 3072, | |
| "id2label": { | |
| "0": "projects", | |
| "1": "certifications", | |
| "2": "publications", | |
| "3": "references", | |
| "4": "education", | |
| "5": "objective", | |
| "6": "additional_info", | |
| "7": "languages", | |
| "8": "hobbies", | |
| "9": "summary", | |
| "10": "awards", | |
| "11": "experience", | |
| "12": "skills", | |
| "13": "volunteer", | |
| "14": "contact" | |
| }, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "additional_info": 6, | |
| "awards": 10, | |
| "certifications": 1, | |
| "contact": 14, | |
| "education": 4, | |
| "experience": 11, | |
| "hobbies": 8, | |
| "languages": 7, | |
| "objective": 5, | |
| "projects": 0, | |
| "publications": 2, | |
| "references": 3, | |
| "skills": 12, | |
| "summary": 9, | |
| "volunteer": 13 | |
| }, | |
| "max_position_embeddings": 512, | |
| "model_type": "distilbert", | |
| "n_heads": 12, | |
| "n_layers": 6, | |
| "pad_token_id": 0, | |
| "problem_type": "single_label_classification", | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.6.2", | |
| "use_cache": false, | |
| "vocab_size": 30522 | |
| } | |