Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abdulrahman-nuzha/intfloat-e5-small-v2-english-fp16-allagree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulrahman-nuzha/intfloat-e5-small-v2-english-fp16-allagree with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulrahman-nuzha/intfloat-e5-small-v2-english-fp16-allagree")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdulrahman-nuzha/intfloat-e5-small-v2-english-fp16-allagree") model = AutoModelForSequenceClassification.from_pretrained("abdulrahman-nuzha/intfloat-e5-small-v2-english-fp16-allagree", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59804965b23216ec9a4249b98642c6c2008472e30a73ff9ca577672f7194e0d0
- Size of remote file:
- 133 MB
- SHA256:
- 00583f17285160f99ecf6533e72fc8e21bb0c4971ce8798039d3c6ebd51f02db
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