Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/micro_base_help_class_tapt_seed_2 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_2 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_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_2") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/micro_base_help_class_tapt_seed_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/micro_base_help_class_tapt_seed_2: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_2/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/micro_base_help_class_tapt_seed_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_2/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 0039fef65ddd10312769d2fa75f75c8cd73518231f6f28e3a340e251e9918e3e
- Size of remote file:
- 4.79 kB
- SHA256:
- 0d987caa6e4eb96ba96a0b9f6de70ede290cb0fa21bf9564e0f9f3966c40d917
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