Instructions to use igorktech/hier-bert-i3-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorktech/hier-bert-i3-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="igorktech/hier-bert-i3-mlm", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("igorktech/hier-bert-i3-mlm", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0ab631c717f27e3274e390392942b5e37c635311264f26baae187f516aeba3d
- Size of remote file:
- 143 MB
- SHA256:
- e8d28cc334bd86051ffa11b9273f2c46a79198331aeb9f9c1530d4b391ac337d
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