Instructions to use GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription") model = AutoModelForTokenClassification.from_pretrained("GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription", device_map="auto") - Notebooks
- Google Colab
- Kaggle