Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use whoisjones/finerweb-multilabel-classifier-mdeberta-4o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whoisjones/finerweb-multilabel-classifier-mdeberta-4o with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whoisjones/finerweb-multilabel-classifier-mdeberta-4o")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whoisjones/finerweb-multilabel-classifier-mdeberta-4o") model = AutoModelForSequenceClassification.from_pretrained("whoisjones/finerweb-multilabel-classifier-mdeberta-4o") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f416e8af89a7ba2c0fcd4bc2cf4906f8cd6472c4a790eeab3be68bf564e6057c
- Size of remote file:
- 5.62 kB
- SHA256:
- d61b482ad45c61820a49229efa5dd0f2bbf2677d0040dfc5c74b5ac03f3c8f6d
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