Instructions to use agentlans/multilingual-e5-small-fineweb2hq-vs-c4-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentlans/multilingual-e5-small-fineweb2hq-vs-c4-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agentlans/multilingual-e5-small-fineweb2hq-vs-c4-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agentlans/multilingual-e5-small-fineweb2hq-vs-c4-classifier") model = AutoModelForSequenceClassification.from_pretrained("agentlans/multilingual-e5-small-fineweb2hq-vs-c4-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed605f759ecd3dee87f5563f1ef7f140a563248deb208036c6887a6df24f5595
- Size of remote file:
- 5.5 kB
- SHA256:
- 46d1b2953991d8ef95c15025aae629bf2e97252ca61ea56394fc14a438d43412
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