Instructions to use learn3r/longt5_xl_sfd_4096_e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_sfd_4096_e10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_sfd_4096_e10") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_sfd_4096_e10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files- config.json +1 -1
- tokenizer.json +6 -1
- training_args.bin +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"LongT5ForConditionalGeneration"
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],
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{
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"_name_or_path": "/home/co-ou1/rds/hpc-work/models/longt5_xl_sfd_4096/longt5_xl_sfd_4096_e10/checkpoint-140",
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"architectures": [
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"LongT5ForConditionalGeneration"
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],
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"padding": null,
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"added_tokens": [
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{
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{
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": null,
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"added_tokens": [
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{
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4347
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version https://git-lfs.github.com/spec/v1
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oid sha256:65b58e052624bc99e9a5af72a86d473c5f2be0eeefb1974257ae7928ee2f42e5
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size 4347
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