Instructions to use autonomous019/bert_small_uncased_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autonomous019/bert_small_uncased_512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autonomous019/bert_small_uncased_512")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autonomous019/bert_small_uncased_512") model = AutoModelForSequenceClassification.from_pretrained("autonomous019/bert_small_uncased_512") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e718cc3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:86150c722997353a0ad60c3e520dbc2ad0d0ee0c0e6a060cbaec5a42180f1959
size 3375
|