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:
- 7ab47cc4478c1dd88126fe69952f5d45e7fd21a6a5e1e851ab695ef07415dd1d
- Size of remote file:
- 5.43 kB
- SHA256:
- d093374c5971a4fead7db1181118ceb4f476d99f77d5d3308fcde8715c869fc2
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