Instructions to use maxspad/nlp-qual-q1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxspad/nlp-qual-q1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maxspad/nlp-qual-q1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maxspad/nlp-qual-q1") model = AutoModelForSequenceClassification.from_pretrained("maxspad/nlp-qual-q1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7cd218e429e6b51d4b623926d779f3f748438663b760b3c2d71725cd0233d07
- Size of remote file:
- 433 MB
- SHA256:
- 0bd9a924df7e0fe8c793b00680e38ca5aca40daff5b694f58e617d89f9c1f480
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