Instructions to use eduagarcia-temp/further_base_v4_0__checkpoint_last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eduagarcia-temp/further_base_v4_0__checkpoint_last with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eduagarcia-temp/further_base_v4_0__checkpoint_last")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eduagarcia-temp/further_base_v4_0__checkpoint_last") model = AutoModelForMaskedLM.from_pretrained("eduagarcia-temp/further_base_v4_0__checkpoint_last", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa5b6fccbd2978245c8d2f0714d2b4757c633058716d04c2af7a5db214533ef6
- Size of remote file:
- 499 MB
- SHA256:
- a61edcdac1960932eabeba59e2ae3772df9f7ecc1df4ab1da837531e5651fe2f
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