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")
https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_2/resolve/5fbd544be7894de96b513c8ec012d8c4a7fa47ef/tokenizer.json
hf download hf://BigTMiami/micro_base_help_class_tapt_seed_2@5fbd544be7894de96b513c8ec012d8c4a7fa47ef/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/BigTMiami/micro_base_help_class_tapt_seed_2/resolve/5fbd544be7894de96b513c8ec012d8c4a7fa47ef/tokenizer.json
