Instructions to use Isuri97/holo_mlm_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isuri97/holo_mlm_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Isuri97/holo_mlm_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Isuri97/holo_mlm_bert") model = AutoModelForMaskedLM.from_pretrained("Isuri97/holo_mlm_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9382ac6476107ca33ee464368a61ea3f125719aa7f21406248fb5fea5c2a8c29
- Size of remote file:
- 433 MB
- SHA256:
- 1ec7f82f0d14d97cb1dc5a3c937bec848b14573b673f79aeb2c196929f2c327f
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