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GitHub Repository: huggingface/notebooks
Path: blob/main/course/videos/domain_adaptation.ipynb
Views: 2542
Kernel: Unknown Kernel

This notebook regroups the code sample of the video below, which is a part of the Hugging Face course.

#@title from IPython.display import HTML HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/0Oxphw4Q9fo?rel=0&amp;controls=0&amp;showinfo=0" frameborder="0" allowfullscreen></iframe>')

Install the Transformers and Datasets libraries to run this notebook.

! pip install datasets transformers[sentencepiece]
from transformers import pipeline
model_checkpoint = "distilbert-base-uncased" fill_masker = pipeline("fill-mask", model=model_checkpoint) fill_masker("This is a great [MASK].")
model_checkpoint = "huggingface-course/distilbert-base-uncased-finetuned-imdb" fill_masker = pipeline("fill-mask", model=model_checkpoint) fill_masker("This is a great [MASK].")
model_checkpoint = "Helsinki-NLP/opus-mt-en-fr" translator = pipeline("translation", model=model_checkpoint) translator("This plugin automatically translates emails.")
model_checkpoint = "huggingface-course/marian-finetuned-kde4-en-to-fr") translator = pipeline("translation", model=model_checkpoint) translator("This plugin automatically translates emails.")