Instructions to use ElisonSherton/hf-course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElisonSherton/hf-course with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ElisonSherton/hf-course")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ElisonSherton/hf-course") model = AutoModelForMaskedLM.from_pretrained("ElisonSherton/hf-course") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Completed chapter 5 module 1. Loaded custom data from local disk and remote url both in huggingface datasets object
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