Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use kitsunea/modernbert-large-assignment4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kitsunea/modernbert-large-assignment4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kitsunea/modernbert-large-assignment4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kitsunea/modernbert-large-assignment4") model = AutoModelForSequenceClassification.from_pretrained("kitsunea/modernbert-large-assignment4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 923a3c49411bacb67bbe46a833c5fb04e28ebf172945b1d02d83a64afd3e8f43
- Size of remote file:
- 5.78 kB
- SHA256:
- 9d87562620d0ed60fd4868f3931da6a1b88f90c940de4ab72eacf0a01dc3a6e5
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