Instructions to use KBLab/megatron.bert-base.unigram-32k-no_pretok.25k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/megatron.bert-base.unigram-32k-no_pretok.25k-steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KBLab/megatron.bert-base.unigram-32k-no_pretok.25k-steps")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KBLab/megatron.bert-base.unigram-32k-no_pretok.25k-steps") model = AutoModel.from_pretrained("KBLab/megatron.bert-base.unigram-32k-no_pretok.25k-steps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a517c337b188dbc4e23a7842ab6176090f3910b5bbe6e4afebab60ecae140b3f
- Size of remote file:
- 442 MB
- SHA256:
- 40f6723b4795b5efa3d205ae97d62de7bcafde09f66baf22d9b395370ff425f1
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