How to use gmguarino/camembertav2-base-tiktok_transcripts_annotated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gmguarino/camembertav2-base-tiktok_transcripts_annotated")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gmguarino/camembertav2-base-tiktok_transcripts_annotated") model = AutoModelForSequenceClassification.from_pretrained("gmguarino/camembertav2-base-tiktok_transcripts_annotated", device_map="auto")
https://huggingface.co/gmguarino/camembertav2-base-tiktok_transcripts_annotated/resolve/3bc7ce8aba7ecbd9cc71ba63dfc8fdba157e6b19/tokenizer.json
hf download hf://gmguarino/camembertav2-base-tiktok_transcripts_annotated@3bc7ce8aba7ecbd9cc71ba63dfc8fdba157e6b19/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/gmguarino/camembertav2-base-tiktok_transcripts_annotated/resolve/3bc7ce8aba7ecbd9cc71ba63dfc8fdba157e6b19/tokenizer.json
