Token Classification
Transformers
Safetensors
Thai
camembert
ner
thai
phayathaibert
job-posting
apple-silicon
Eval Results (legacy)
Instructions to use chayuto/thai-job-ner-phayathaibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chayuto/thai-job-ner-phayathaibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chayuto/thai-job-ner-phayathaibert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chayuto/thai-job-ner-phayathaibert") model = AutoModelForTokenClassification.from_pretrained("chayuto/thai-job-ner-phayathaibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "CamembertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-HARD_SKILL", | |
| "2": "I-HARD_SKILL", | |
| "3": "B-PERSON", | |
| "4": "I-PERSON", | |
| "5": "B-LOCATION", | |
| "6": "I-LOCATION", | |
| "7": "B-COMPENSATION", | |
| "8": "I-COMPENSATION", | |
| "9": "B-EMPLOYMENT_TERMS", | |
| "10": "I-EMPLOYMENT_TERMS", | |
| "11": "B-CONTACT", | |
| "12": "I-CONTACT", | |
| "13": "B-DEMOGRAPHIC", | |
| "14": "I-DEMOGRAPHIC" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-COMPENSATION": 7, | |
| "B-CONTACT": 11, | |
| "B-DEMOGRAPHIC": 13, | |
| "B-EMPLOYMENT_TERMS": 9, | |
| "B-HARD_SKILL": 1, | |
| "B-LOCATION": 5, | |
| "B-PERSON": 3, | |
| "I-COMPENSATION": 8, | |
| "I-CONTACT": 12, | |
| "I-DEMOGRAPHIC": 14, | |
| "I-EMPLOYMENT_TERMS": 10, | |
| "I-HARD_SKILL": 2, | |
| "I-LOCATION": 6, | |
| "I-PERSON": 4, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "camembert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "5.3.0", | |
| "type_vocab_size": 1, | |
| "use_cache": false, | |
| "vocab_size": 249262 | |
| } | |