Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use BigTMiami/micro_base_help_class_no_pre_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_no_pre_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_no_pre_seed_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BigTMiami/micro_base_help_class_no_pre_seed_2") model = AutoModelForSequenceClassification.from_pretrained("BigTMiami/micro_base_help_class_no_pre_seed_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BigTMiami/micro_base_help_class_no_pre_seed_2: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/BigTMiami/micro_base_help_class_no_pre_seed_2/resolve/main/training_args.bin
- Command line
-
hf download hf://BigTMiami/micro_base_help_class_no_pre_seed_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BigTMiami/micro_base_help_class_no_pre_seed_2/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 4656194763ab626c670f6a71a93eaef3dd23fc015e86456d2b6eb33e106b14f3
- Size of remote file:
- 4.79 kB
- SHA256:
- 3dbe76d0633ff3df6fc9649e5445a425483f59ca717de8cba4e354b11ad60ae1
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