Instructions to use apidae/apidae-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apidae/apidae-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apidae/apidae-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apidae/apidae-bert") model = AutoModelForSequenceClassification.from_pretrained("apidae/apidae-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
47b9c36 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bc85f1b5dd9d92050e9f3d8ed0c114cad5758096768304762d663256c117563d
size 438043950
|