Instructions to use muhtasham/tiny-mlm-imdb-target-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-imdb-target-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="muhtasham/tiny-mlm-imdb-target-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-imdb-target-conll2003") model = AutoModelForTokenClassification.from_pretrained("muhtasham/tiny-mlm-imdb-target-conll2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48893e775c9d58530ffa8bcc15f9467e81698144765aff642ac74b1fba33f4ef
- Size of remote file:
- 3.52 kB
- SHA256:
- 1be5306c91a763860a42b802db47b356b43081605d433e39ca402bff9460aaa4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.