Instructions to use hf-internal-testing/tiny-random-BartForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BartForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BartForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BartForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BartForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75198ffd53c26e7e3a070602c039cbbaed320496bb14f6fdad24c96273eea221
- Size of remote file:
- 224 kB
- SHA256:
- e84365afc29397c8dd0d8d17c3156b1300fe847b0737c36ab5d4da12b4ca509d
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