Instructions to use avichr/hebEMO_trust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/hebEMO_trust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avichr/hebEMO_trust")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avichr/hebEMO_trust") model = AutoModelForSequenceClassification.from_pretrained("avichr/hebEMO_trust") - Notebooks
- Google Colab
- Kaggle
Can't load tokenizer using from_pretrained
#2
by SaraM88 - opened
Hi ,
I got this error
Can't load tokenizer using from_pretrained, please update its configuration: Can't load tokenizer for 'avichr/hebEMO_trust'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'avichr/hebEMO_trust' is the correct path to a directory containing all relevant files for a BertTokenizerFast tokenizer.
how can I solve it?