Token Classification
Transformers
Safetensors
English
bert
ner
named-entity-recognition
job-postings
distilled
Instructions to use AchrafSoltani/jobbert-ner-haiku-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AchrafSoltani/jobbert-ner-haiku-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AchrafSoltani/jobbert-ner-haiku-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AchrafSoltani/jobbert-ner-haiku-v1") model = AutoModelForTokenClassification.from_pretrained("AchrafSoltani/jobbert-ner-haiku-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,437 Bytes
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"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"dtype": "float32",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-SKILL",
"2": "I-SKILL",
"3": "B-JOB_TITLE",
"4": "I-JOB_TITLE",
"5": "B-COMPANY",
"6": "I-COMPANY",
"7": "B-LOCATION",
"8": "I-LOCATION",
"9": "B-EXPERIENCE_LEVEL",
"10": "I-EXPERIENCE_LEVEL",
"11": "B-EDUCATION",
"12": "I-EDUCATION",
"13": "B-CERT",
"14": "I-CERT",
"15": "B-COMPENSATION",
"16": "I-COMPENSATION"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-CERT": 13,
"B-COMPANY": 5,
"B-COMPENSATION": 15,
"B-EDUCATION": 11,
"B-EXPERIENCE_LEVEL": 9,
"B-JOB_TITLE": 3,
"B-LOCATION": 7,
"B-SKILL": 1,
"I-CERT": 14,
"I-COMPANY": 6,
"I-COMPENSATION": 16,
"I-EDUCATION": 12,
"I-EXPERIENCE_LEVEL": 10,
"I-JOB_TITLE": 4,
"I-LOCATION": 8,
"I-SKILL": 2,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"transformers_version": "4.57.6",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}
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