Instructions to use hf-internal-testing/tiny-random-FunnelForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-FunnelForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-FunnelForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
8c9c088 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ef3df8b272a5de6e48a4c718d397870ac536d49e90d3e73a7003c0b8a055e028
size 285512
|