Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/micro_base_help_class_tapt_seed_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigTMiami/micro_base_help_class_tapt_seed_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BigTMiami/micro_base_help_class_tapt_seed_4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_4") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/micro_base_help_class_tapt_seed_4: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_4/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/micro_base_help_class_tapt_seed_4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_4/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 42abc9dd4acb35da9138bcb6512e64f58051fb2e2874514f5eb618c439801c82
- Size of remote file:
- 4.79 kB
- SHA256:
- d99113427c9f8b186e4aedfc98073931bab4fcc2d28cf3cf7a7bad1e9bb9c240
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