Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Accelera/finetuning_English_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Accelera/finetuning_English_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Accelera/finetuning_English_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Accelera/finetuning_English_Model") model = AutoModelForSequenceClassification.from_pretrained("Accelera/finetuning_English_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Accelera/finetuning_English_Model: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Accelera/finetuning_English_Model/resolve/main/model.safetensors
- Command line
-
hf download hf://Accelera/finetuning_English_Model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Accelera/finetuning_English_Model/resolve/main/model.safetensors
438 MB
- Xet hash:
- 66d7effe6e1fa31817cfe14498b3b440c84133eb714416e3f7692f5d84b3fe67
- Size of remote file:
- 438 MB
- SHA256:
- cbf6d0dc9fc8a76928c6b4ea51bc773a41af39ed01cc800e2b4b301c7d6e1460
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