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
- Xet hash:
- 66d9b696ddbdad1ade904762e66130ef3217ac595ba0f9455f6b33abcfeb020d
- Size of remote file:
- 431 MB
- SHA256:
- 9a9db19f30e39ce0a3bfdc1c499a6958b073555bee0315e26e95fe15c2554698
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