Instructions to use connectivity/feather_berts_79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_79 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_79")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_79") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_79", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0d00be4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b7a7d96fe473d42d983bca2325ef7631be25f3de6845ec5784ac9a25c8b85ce1
size 438020397
|