Instructions to use EslamAhmed/google_Job_data_tuned_trial_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EslamAhmed/google_Job_data_tuned_trial_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EslamAhmed/google_Job_data_tuned_trial_1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EslamAhmed/google_Job_data_tuned_trial_1") model = AutoModelForMaskedLM.from_pretrained("EslamAhmed/google_Job_data_tuned_trial_1") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
213ff9a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ad6c5622b7798cb6239368d5ffe161cd2e3f2aea8e0fd20c77028c9793a9556c
size 433421807
|