Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abdulrahman-nuzha/intfloat-e5-base-english-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulrahman-nuzha/intfloat-e5-base-english-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulrahman-nuzha/intfloat-e5-base-english-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdulrahman-nuzha/intfloat-e5-base-english-fp16") model = AutoModelForSequenceClassification.from_pretrained("abdulrahman-nuzha/intfloat-e5-base-english-fp16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b6a13277157b2e1221bc1cf2f5a326418484a1c48104ca73dfc0a747b8c7744
- Size of remote file:
- 5.37 kB
- SHA256:
- c4c155054ca0c23585e60f02f877a5bc853ab1dcc05922d3f3ddbc88484476da
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