Instructions to use PrasunMishra/prasun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrasunMishra/prasun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PrasunMishra/prasun")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PrasunMishra/prasun") model = AutoModelForSequenceClassification.from_pretrained("PrasunMishra/prasun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee6d92876d86f42a2f27952e7042f2cb538ef3e1a7e1e60b9c514d4ece93777c
- Size of remote file:
- 3.06 kB
- SHA256:
- 2ac925ca87215899fcc02a5258cdf483d8e41d52dbc415de9df1631b0364f931
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