Instructions to use connectivity/feather_berts_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/feather_berts_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/feather_berts_3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/feather_berts_3") model = AutoModelForSequenceClassification.from_pretrained("connectivity/feather_berts_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
81ce395 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:47c87a8e5111094464cbf39b8d3862671fa30f2f285fdbec7778b5f9334d5a92
size 438020397
|