Instructions to use eunjin/bert_base_cased_semantics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eunjin/bert_base_cased_semantics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eunjin/bert_base_cased_semantics")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eunjin/bert_base_cased_semantics") model = AutoModel.from_pretrained("eunjin/bert_base_cased_semantics", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
f7043c6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:75a1e606ad58eb583001ed2b352481ae3892106d3e9f13c198002f75de1347bb
size 433310471
|