Instructions to use connectivity/feather_berts_48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_48 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_48")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_48") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_48", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
40fbfd1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bb9e76568a04eaaf69b6272de286835100e68679ed5b58f85e0829b3f1d35cf5
size 438020397
|