Instructions to use nouman-10/task2B-preprocessed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/task2B-preprocessed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nouman-10/task2B-preprocessed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nouman-10/task2B-preprocessed") model = AutoModelForSequenceClassification.from_pretrained("nouman-10/task2B-preprocessed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 899b42a47416b9b1a92cdc9dcb2a128f58dcc947857ea3ceec1a842734851851
- Size of remote file:
- 4.03 kB
- SHA256:
- ec58ac968b83527eed04ce81951cffc1daebafc5c5a0100ddd25d50dbedefcd0
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