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 training_args.bin from Accelera/finetuning_English_Model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Accelera/finetuning_English_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://Accelera/finetuning_English_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Accelera/finetuning_English_Model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 97f7649b904a3708e5e0530f9d432f3b623f4d7d4f739d0ce402b6decd336059
- Size of remote file:
- 4.6 kB
- SHA256:
- b1cf8fd2cb3cc73beb4cc2c979672522108568093cf1b49ef0a6f06c6f872f68
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