Instructions to use HiAmNear/cafebert-ViFE-task-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiAmNear/cafebert-ViFE-task-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HiAmNear/cafebert-ViFE-task-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HiAmNear/cafebert-ViFE-task-1") model = AutoModelForSequenceClassification.from_pretrained("HiAmNear/cafebert-ViFE-task-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from HiAmNear/cafebert-ViFE-task-1: direct link, hf CLI and curl.
- Browser
- Download file 4.48 GB
-
https://huggingface.co/HiAmNear/cafebert-ViFE-task-1/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://HiAmNear/cafebert-ViFE-task-1/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/HiAmNear/cafebert-ViFE-task-1/resolve/main/last-checkpoint/optimizer.pt
4.48 GB
- Xet hash:
- d263f45813221ab7f4a0b5e81dde738efdef1355df58ec600de1dba7c59203df
- Size of remote file:
- 4.48 GB
- SHA256:
- 4e86f6aaa3dc067d36a65db6f480179a0b1515b7ec86096f4626e8941bf5ecd9
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