Instructions to use connectivity/feather_berts_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_21") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9cd6f1f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2426f56e7a79829121624327392bebe11a4b2b43239bc9129ad37b1140c8ff79
size 438020397
|