Instructions to use magnusgray/mlm_imdb_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magnusgray/mlm_imdb_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="magnusgray/mlm_imdb_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("magnusgray/mlm_imdb_model") model = AutoModelForMaskedLM.from_pretrained("magnusgray/mlm_imdb_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from magnusgray/mlm_imdb_model: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/magnusgray/mlm_imdb_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://magnusgray/mlm_imdb_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/magnusgray/mlm_imdb_model/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 463f8c6ea568d4aa96c976cfa5e7a4b64c7a09136038ee6e2d69c8f3884d1234
- Size of remote file:
- 329 MB
- SHA256:
- 7e375047c41bad8cd7ea1dc53225d2e4be3e2665b2d3fd569b86b2f2002ed1f3
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