Instructions to use juliensimon/imdb-demo-infinity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juliensimon/imdb-demo-infinity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="juliensimon/imdb-demo-infinity")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("juliensimon/imdb-demo-infinity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 368 Bytes
4156f8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | import time
from transformers import pipeline
pipeline = pipeline("sentiment-analysis", model="juliensimon/autonlp-imdb-demo-hf-16622767", use_auth_token=True)
data = "Dune is something rarely seen anymore – it’s an epic."
tick=time.time_ns()
for i in range(0,100):
response=pipeline(data)
tock=time.time_ns()
print("%.2fms" % ((tock-tick)/1000/1000/100))
|