Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/strategytransitionplanv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/strategytransitionplanv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/strategytransitionplanv1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/strategytransitionplanv1") model = AutoModelForSequenceClassification.from_pretrained("lomov/strategytransitionplanv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lomov/strategytransitionplanv1: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/lomov/strategytransitionplanv1/resolve/main/training_args.bin
- Command line
-
hf download hf://lomov/strategytransitionplanv1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lomov/strategytransitionplanv1/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 71675f3b7af85996b3418ef98d774742f7379d07836145e9b200e6e5a0b0992d
- Size of remote file:
- 5.05 kB
- SHA256:
- 985117477d3167c4e30a76f3ad78d5db334a7ec2e5dbc8d3ae443483ca87234d
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