Error during runtime: facebook bart mnli
Hi,I tested the facebook/bart-large-mnli model on local (windows) and it runs well. Code given below:def zero_shot_clf(text_sequence, candidate_labels):
    fb_bart_model = AutoModelForSequenceClassification.from_pretrained(
        "./prod_models/fb/models--facebook--bart-large-mnli/snapshots/c626438eeca63a93bd6024b0a0fbf8b3c0c30d7b/")
    fb_bart_tokenizer = AutoTokenizer.from_pretrained(
        "./prod_models/fb/models--facebook--bart-large-mnli/snapshots/c626438eeca63a93bd6024b0a0fbf8b3c0c30d7b/")

    classifier = pipeline("zero-shot-classification",
                          model=fb_bart_model, tokenizer=fb_bart_tokenizer)
    # classifier = pipeline("zero-shot-classification",
    #                       model="./prod_models/fb/models--facebook--bart-large-mnli/snapshots/c626438eeca63a93bd6024b0a0fbf8b3c0c30d7b/")
    sequence_to_classify = text_sequence
    candidate_labels = candidate_labels
    results = classifier(sequence_to_classify, candidate_labels)

    return resultsBut when i run it on google cloud i get an error:error: It looks like the config file at ‘./prod_models/fb/models–facebook–bart-large-mnli/snapshots/c626438eeca63a93bd6024b0a0fbf8b3c0c30d7b/config.json’ is not a valid JSON file.I have checked and the config file json is valid format.{
  "_num_labels": 3,
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "add_final_layer_norm": false,
  "architectures": [
    "BartForSequenceClassification"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 0,
  "classif_dropout": 0.0,
  "classifier_dropout": 0.0,
  "d_model": 1024,
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 12,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "eos_token_id": 2,
  "forced_eos_token_id": 2,
  "gradient_checkpointing": false,
  "id2label": {
    "0": "contradiction",
    "1": "neutral",
    "2": "entailment"
  },
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "contradiction": 0,
    "entailment": 2,
    "neutral": 1
  },
  "max_position_embeddings": 1024,
  "model_type": "bart",
  "normalize_before": false,
  "num_hidden_layers": 12,
  "output_past": false,
  "pad_token_id": 1,
  "scale_embedding": false,
  "transformers_version": "4.7.0.dev0",
  "use_cache": true,
  "vocab_size": 50265
}