Instructions to use HiAmNear/cafebert-ViFE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiAmNear/cafebert-ViFE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HiAmNear/cafebert-ViFE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HiAmNear/cafebert-ViFE") model = AutoModelForSequenceClassification.from_pretrained("HiAmNear/cafebert-ViFE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
9b16cf4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b74659c780d49afad7a7b9799868f75cbd3014fb6c34956e85a793028d38094a
size 17098251
|