How to use Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2") model = AutoModelForTokenClassification.from_pretrained("Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2", device_map="auto")
https://huggingface.co/Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2/resolve/main/tokenizer.json
hf download hf://Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Jsevisal/balanced-augmented-bert-large-gest-pred-seqeval-partialmatch-2/resolve/main/tokenizer.json
