Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/micro_base_help_class_tapt_seed_0 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_0 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_0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_0") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/micro_base_help_class_tapt_seed_0: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_0/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/micro_base_help_class_tapt_seed_0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_0/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- d97b6aa61f97c876d1ce7dfe234ef1821e6022999232df5dcde11b2950c25836
- Size of remote file:
- 4.79 kB
- SHA256:
- 9b5388cf4cce9c61b1dcf06437dbc5c5d3f3b1939f0e1262098e7b38da7bed1d
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