Instructions to use KBLab/megatron.bert-base.unigram-64k-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-64k-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-64k-no_pretok.25k-steps")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KBLab/megatron.bert-base.unigram-64k-no_pretok.25k-steps") model = AutoModel.from_pretrained("KBLab/megatron.bert-base.unigram-64k-no_pretok.25k-steps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe54b42cb49a3ef4519a1ef3d1672c11690309392e6a975cbe16f95ed7012148
- Size of remote file:
- 541 MB
- SHA256:
- cfe966ced426327259c87cdadde7bf45c7f53a31f387604d51ea7c2edcf6e12b
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