Instructions to use gabrielbianchin/base_esm2_t6_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielbianchin/base_esm2_t6_long with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gabrielbianchin/base_esm2_t6_long")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gabrielbianchin/base_esm2_t6_long") model = AutoModelForMaskedLM.from_pretrained("gabrielbianchin/base_esm2_t6_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
11dfe22 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:91d00f65068a4d2a195ca7408f2cbd763d532ab5bb2e612eb1674e8273eb2935
size 40086000
|